Runs - Blog 2008¶

B1DocOpinAZN¶

Run ID: B1DocOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 42e06e0bea95539e03543aec0ed0cff4
Run description: baseline1 Document level opinion finding Amazon review data

B1DocOpinSWN¶

Run ID: B1DocOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9dfb3572cd5667cd82cf0964c5802038
Run description: baseline1 Document level opinion finding SentiWordNet

B1Polarity¶

Run ID: B1Polarity
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 703ce49eb73c19721d87adf09616be4b
Run description: baseline1 Document Level Polarity Finding Amazon Review data SentiWordNet

B1PsgOpinAZN¶

Run ID: B1PsgOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9da554f06a86c85eb416d7dfc31eaa78
Run description: baseline1 Passage level opinion finding Amazon Review data

B1PsgOpinSWN¶

Run ID: B1PsgOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7e5438c77a6986eef90ed2f03e4b6e26
Run description: baseline1 Passage level opinion finding SentiWordNet

B2DocOpinAZN¶

Run ID: B2DocOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 50866ec3d460a0d2e7a1e648760fa457
Run description: baseline2 Document level opinion finding Amazon Review data

B2DocOpinSWN¶

Run ID: B2DocOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 452acbcbc3ec93a5d306be7800f13cb3
Run description: baseline2 Document level opinion finding SentiWordNet

B2Polarity¶

Run ID: B2Polarity
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: fc4f5927dafacb7562454a01ddf604ba
Run description: baseline2 Document Level Polarity Finding Amazon Review data SentiWordNet

B2PsgOpinAZN¶

Run ID: B2PsgOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 747969c5582a9f0b1754fc28cc456602
Run description: baseline2 Passage level opinion finding Amazon Review data

B2PsgOpinSWN¶

Run ID: B2PsgOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3b37e222075281c8f39d3f9c13743ead
Run description: baseline2 Passage level opinion finding SentiWordNet

B3DocOpinAZN¶

Run ID: B3DocOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b3b15227c1465bfd26972fce7bb6a61d
Run description: baseline3 Document level opinion finding Amazon Review data

B3DocOpinSWN¶

Run ID: B3DocOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d7f96ff3bb954f18d41a4c668f38401b
Run description: baseline3 Document level opinion finding SentiWordNet

B3Polarity¶

Run ID: B3Polarity
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 7f8b5d85bbc34cce324524c80d2f355b
Run description: baseline3 Document Level Polarity Finding Amazon Review data SentiWordNet

B3PsgOpinAZN¶

Run ID: B3PsgOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3b18172b845d9ef681d1fc539a2d892b
Run description: baseline3 Passage level opinion finding Amazon Review data

B3PsgOpinSWN¶

Run ID: B3PsgOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 4d7ea691b44fb68e3bcab2164e577b26
Run description: baseline3 Passage level opinion finding SentiWordNet

B4DocOpinAZN¶

Run ID: B4DocOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9ffbca11da5941d13161488a9c9f56d7
Run description: baseline4 Document level opinion finding Amazon Review data

B4DocOpinSWN¶

Run ID: B4DocOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 69d3b95208b6fc1da5e0dde6efd280cc
Run description: baseline4 Document level opinion finding SentiWordNet

b4dt1mP5¶

Run ID: b4dt1mP5
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 773702d17ffff650e67da1f40f97a62d
Run description: wdqbdt1mP5 applied to baseline4

b4dt1mRd¶

Run ID: b4dt1mRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 3ed26bcb2462fa7bd391159009422db6
Run description: baseline4, dynamic tuning, manual lexicon weights, opinion reranking

b4dt1pP5¶

Run ID: b4dt1pP5
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 308ab8c729232d01cf7f2ca7eb47dcea
Run description: wdqbdt1pP5 applied to baseline4

b4dt1pRd¶

Run ID: b4dt1pRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: d9d78b0c43a7d7ff557271051c07d5e2
Run description: baseline4, dynamic tuning, probabilistic lexicon weights, opinion reranking

B4Polarity¶

Run ID: B4Polarity
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: a9ec5aee0ce77b60e4d26e00e8b9a37e
Run description: baseline4 Document Level Polarity Finding Amazon Review data SentiWordNet

B4PsgOpinAZN¶

Run ID: B4PsgOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: a6e670269a3270ff3f695f3a9d8bb4f6
Run description: baseline4 Passage level opinion finding Amazon Review data

B4PsgOpinSWN¶

Run ID: B4PsgOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d861b8db024f79bce5b07b092b24362c
Run description: baseline4 Passage level opinion finding SentiWordNet

B5DocOpinAZN¶

Run ID: B5DocOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b86645cce2605f7258021682f6d716f8
Run description: baseline5 Document level opinion finding Amazon Review data

B5DocOpinSWN¶

Run ID: B5DocOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: bc2aa97c18d838dbbecd47a74977f88d
Run description: baseline5 Document level opinion finding SentiWordNet

b5dt1mRd¶

Run ID: b5dt1mRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 923643cd7534b114af21ef685bf231f2
Run description: baseline5, dynamic tuning, manual lexicon weights, opinion reranking

b5dt1pRd¶

Run ID: b5dt1pRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 658ce14f3cf69d62c16bd27a2cd11608
Run description: baseline5, dynamic tuning, probabilistic lexicon weights, opinion reranking

B5Polarity¶

Run ID: B5Polarity
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 39b0b6647144eb527bfb25dc892ddf53
Run description: baseline5 Document Level Polarity Finding Amazon Review data SentiWordNet

B5PsgOpinAZN¶

Run ID: B5PsgOpinAZN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e0a2464d35dad0c93c3120e08fe429d2
Run description: baseline5 Passage level opinion finding Amazon Review data

B5PsgOpinSWN¶

Run ID: B5PsgOpinSWN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: cbad9df5a94472a6867f6672743328e9
Run description: baseline5 Passage level opinion finding SentiWordNet

b5wt1mRc¶

Run ID: b5wt1mRc
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 9ae262f125ac80ae1a8812bb55401cda
Run description: baseline5, dynamic tuning (2007), manual lexicon weights, opinion reranking

b5wt1pRc¶

Run ID: b5wt1pRc
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 170ad7f2f7e8d71eb71082a012ce4326
Run description: baseline5, dynamic tuning (2007), probabilistic lexicon weights, opinion reranking

BM25LenNorm¶

Run ID: BM25LenNorm
Participant: USI
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: f7f7d9aafa6956a90b15296d17e92318
Run description: using terrier output by BM25 normalized be length of feeds

cmuLDwiki¶

Run ID: cmuLDwiki
Participant: CMU-LTI-DIR
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: bc32f269c72e71d1542cadef6ffb7166
Run description: Large Document Model, Wikipedia Link expansion

cmuLDwikiSP¶

Run ID: cmuLDwikiSP
Participant: CMU-LTI-DIR
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: ba008ce15f8b07a7068cbf48e7d28187
Run description: Large Document Model, Wikipedia Link expansion, SPAM filtering

cmuSD¶

Run ID: cmuSD
Participant: CMU-LTI-DIR
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 9ddb8a4553b913652e20f6cf81c9a4c7
Run description: Small Document Model

cmuSDwiki¶

Run ID: cmuSDwiki
Participant: CMU-LTI-DIR
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: c57edc5def06f60342363f71f22f23d1
Run description: Small Document Model, Wikipedia Expansion

DCUCDVPgo¶

Run ID: DCUCDVPgo
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 390877385b56e985fada4604fc872c63
Run description: Opinion finding run based on distributed baseline "baseline 4". Unoptimized linear fusion of SentiWordNet and low level features.

DCUCDVPgonc¶

Run ID: DCUCDVPgonc
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 8e15a22dd7cee9f3dbd9a55f78784ea2
Run description: Opinion finding run based on distributed baseline "baseline 4". Unoptimized linear fusion of SentiWordNet and low level features. SentiWordNet scores/weights are not trained using a classifier.

DCUCDVPgoo¶

Run ID: DCUCDVPgoo
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3e4f84a3e52cabba4647f3d68657f22d
Run description: Opinion finding run based on distributed baseline "baseline 4". Optimized linear fusion of SentiWordNet and low level features.

DCUCDVPgoonc¶

Run ID: DCUCDVPgoonc
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d9aabff7dd6750e35bd357451a05dc9d
Run description: Opinion finding run based on distributed baseline "baseline 4". Optimized linear fusion of SentiWordNet and low level features. SentiWordNet scores are not trained/weighted using a classifier.

DCUCDVPgp¶

Run ID: DCUCDVPgp
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 2d915c3032703c8f30d2b5a3201d30d3
Run description: Polarity run based on distributed baseline "baseline 4". Unoptimized linear fusion of SentiWordNet and opinion finding low level features. SentiWordNet scores are not trained/weighted using a classifier.

DCUCDVPgpo¶

Run ID: DCUCDVPgpo
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: b2e157982c594fa3e554a43182254d0c
Run description: Polarity run based on distributed baseline "baseline 4". Optimized linear fusion of SentiWordNet and opinion finding low level features. SentiWordNet scores are not trained/weighted using a classifier.

DCUCDVPtbl¶

Run ID: DCUCDVPtbl
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 937fccb76f8bdbc9bf62444447b0e626
Run description: Automatic title only baseline for ad-hoc retrieval using Terrier. Models used were BM25 for retrieval and Bo1 for query expansion.

DCUCDVPtdbl¶

Run ID: DCUCDVPtdbl
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 640ce0b023cfe2d564d0a2a1664e9489
Run description: Automatic title and description baseline run from Terrier for ad-hoc retrieval task. Models used are BM25 for retrieval and Bo1 for query expansion.

DCUCDVPtdo¶

Run ID: DCUCDVPtdo
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 592ecacfcf36865844561249fa9b93da
Run description: Opinion run based on our title + description baseline. Linear fusion of SentiWordNet and low level features. SentiWordNet scores are trained/weighted using a classifier.

DCUCDVPtdp¶

Run ID: DCUCDVPtdp
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: aaa59859c6b505316be729e1a12806b9
Run description: Polarity run based on our title + description baseline. Linear fusion of SentiWordNet and opinion finding low level features. SentiWordNet scores are not trained/weighted using a classifier.

DCUCDVPto¶

Run ID: DCUCDVPto
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 0f85906b6401a197eaa5297f8db7355c
Run description: Opinion run based on our title only baseline. Linear fusion of SentiWordNet and low level features. SentiWordNet scores are trained/weighted using a classifier.

DCUCDVPtol¶

Run ID: DCUCDVPtol
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: f6c817a79e359fe54eafac98cb244876
Run description: Opinion run based on our title only baseline. Optimized linear fusion of SentiWordNet and low level features and parse / POS features. SentiWordNet scores are trained/weighted using a classifier.

DCUCDVPtolnc¶

Run ID: DCUCDVPtolnc
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d0fe15be77cfe41d4b4167756333851c
Run description: Opinion run based on our title only baseline. Optimized linear fusion of SentiWordNet and low level features and parse / POS features. SentiWordNet scores are not trained/weighted using a classifier.

DCUCDVPtpl¶

Run ID: DCUCDVPtpl
Participant: aic-dcu
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: baf33369ae789180936eda4d8357732f
Run description: Polarity run based on our title only baseline. Optimized linear fusion of SentiWordNet and low level features and parse / POS features. SentiWordNet scores are not trained/weighted using a classifier.

DUT08BRun1¶

Run ID: DUT08BRun1
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 6/8/2008
Type: automatic
Task: baseline
MD5: a20a53103cbfe728f6c42d816af7f01a
Run description: An automatic baseline adhoc run with title field

DUT08BRun2¶

Run ID: DUT08BRun2
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 6/8/2008
Type: automatic
Task: baseline
MD5: 3962c26e944fafe3c20eeac9ccb650c0
Run description: An automatic baseline adhoc run with title field

DUTIR08DRun1¶

Run ID: DUTIR08DRun1
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 0c4b76696f68668b3c4ec0b623a71e96
Run description: This is a automatic title-only run and is got by merge the results from Permalinks and Feeds respectively.

DUTIR08DRun2¶

Run ID: DUTIR08DRun2
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 3beb245e99466fa61e345d003735d410
Run description: This is a automatic title run and is got by merge the psudo feed back results from Permalinks and Feeds respectively.

DUTIR08DRun3¶

Run ID: DUTIR08DRun3
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 0a267ba19cf9725a028b3896ab184bbd
Run description: This is a automatic run with all fields and is got by merge the results from Permalinks and Feeds respectively.

DUTIR08DRun4¶

Run ID: DUTIR08DRun4
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 7fe120fbbfccae81a291c9fd4d25859c
Run description: This is a automatic run with all fields and is got by merge the psudo feedback results from Permalinks and Feeds respectively.

DUTIR08Run1¶

Run ID: DUTIR08Run1
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: cfe941c34ba579c221d1bc79e6588a72
Run description: DUTIR08Run1's opinion reranker, using baseline DUT08BRun2.

DUTIR08Run2¶

Run ID: DUTIR08Run2
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 4318a0777680c3490d6a7110e18e9d66
Run description: DUTIR08Run2's opinion reranker, using baseline DUT08BRun2.

DUTIR08Run2P¶

Run ID: DUTIR08Run2P
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: ce8b9a53b93def44aee69865546698b5
Run description: DUTIR08Run2P's Polarity reranker, using DUT08BRun2.

DUTIR08Run3¶

Run ID: DUTIR08Run3
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: a5a2449f4ec820c55df1de0f7896c0fb
Run description: DUTIR08Run3's opinion reranker, using baseline DUT08BRun2.

DUTIR08Run4¶

Run ID: DUTIR08Run4
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/1/2008
Type: automatic
Task: opinion
MD5: a7ee00a08e1005fdf747211eaf7f20ea
Run description: DUTIR08Run4's opinion reranker, using baseline DUT08BRun2

DUTIR08Run5P¶

Run ID: DUTIR08Run5P
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 9c60e6d77f7839c5402fa2259c8f884e
Run description: DUTIR08Run5P's Polarity reranker, using DUT08BRun2.

DUTIR08Run6P¶

Run ID: DUTIR08Run6P
Participant: DUTIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 3921da15df8aec4cb1108f5467b7993d
Run description: DUTIR08Run6P's Polarity reranker, using DUT08BRun2.

FEEDKGP¶

Run ID: FEEDKGP
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 8/18/2008
Type: automatic
Task: feed
MD5: e93ab7ee07d760a28d52de3e8f709663
Run description: Ranking based of percentage of blogs returned per feed

FEEDKGP1¶

Run ID: FEEDKGP1
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 8/18/2008
Type: automatic
Task: feed
MD5: 0589cc9481ecfb44266f0e306abe650c
Run description: Ranking based of percentage of blogs returned per feed

FeedQeWhu¶

Results | Participants | Input | Summary | Appendix

Run ID: FeedQeWhu
Participant: WHU
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: cc755f0bed53103d4cdfb3e6ddea2896
Run description: Merged the feed documents in different days according to their feednos into a large document as the individual documents in indexing, using Terrier. Using topic titles and an expanded seed ,for each topic, gathering from Wikipedia and Delicious, to retrieve relevant feed documents. The retrieval model is PL2 implemented in Terrier. For each topic, combine the weight of the topic title in returned feeds as well as the weight of expanding queries in their returned feeds, according to a special proportion. Then combing the weight of feeds and rank the feednos, submitting the first 100 here.

feupB¶

Run ID: feupB
Participant: feup_irlab
Track: Blog
Year: 2008
Submission: 6/9/2008
Type: automatic
Task: baseline
MD5: 7b2753025f20ff5206d54b37e7349ce4
Run description: Standard BM25 (from Terrier) without additional features.

feupbase¶

Run ID: feupbase
Participant: feup_irlab
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: 8df3406c2b3eb89a18073a543e54514c
Run description: Baseline run based on the combination of BM25 scores of permalinks.

feupBLMm02¶

Run ID: feupBLMm02
Participant: feup_irlab
Track: Blog
Year: 2008
Submission: 6/9/2008
Type: automatic
Task: baseline
MD5: 74e10cde5ae31a5d6cb2baea21e29a1c
Run description: Re-ranked BM25 using temporal features (pubdate).

feupfs¶

Run ID: feupfs
Participant: feup_irlab
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: d8499e9d7360b3353f12638a3c716264
Run description: Based on the combination of BM25 scores of permalinks combined with temporal spans of results.

feupfsne¶

Run ID: feupfsne
Participant: feup_irlab
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: c0a514aea967c9a8e9de167b4fd4584e
Run description: Based on the combination of BM25 scores of permalinks combined with both temporal span and dispersion of results.

feupne¶

Run ID: feupne
Participant: feup_irlab
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: 69913c9ee32fa2a10cb01a931aa308a6
Run description: Based on the combination of BM25 scores of permalinks combined with temporal dispersion of results.

FIUbaseDFRee¶

Run ID: FIUbaseDFRee
Participant: fub
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: eb9a83e44004a2954cbba4011afa96ee
Run description: Baseline. Used a new DFR parameter-free model.

FIUbasePL2c9¶

Run ID: FIUbasePL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 8b91f7241da46a9f6944dfc7e0b64aec
Run description: Baseline. Used a parameter dependent model.

FIUBL1DFR¶

Run ID: FIUBL1DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 569336466f508836b7fc39c025f5315b
Run description: Used the baseline1 topical retrieval. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUBL1PL2c9¶

Run ID: FIUBL1PL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d2177167a46a090e5104934d24d46c95
Run description: Used given baseline1. Used PL2 c9 model to evaluate the sentimental score of documents.

FIUBL2DFR¶

Run ID: FIUBL2DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 340b5ed38995ceb169a8aa072e69097d
Run description: Used baseline2. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUBL2PL2c9¶

Run ID: FIUBL2PL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d3776928a7ce75d642409a2f587982c0
Run description: Used baseline2. Used PL2 c9 model to evaluate the sentimental score of documents.

FIUBL3DFR¶

Run ID: FIUBL3DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d721b4c1d1793328cc703fe512b30a87
Run description: Used baseline3 for topical retrieval. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUBL3PL2c9¶

Run ID: FIUBL3PL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 91b72e69eabcf4608e3d0fcbacd2cf03
Run description: Used baseline3 for topical retrieval. Used PL2 c9 model to evaluate the sentimental score of documents.

FIUBL4DFR¶

Run ID: FIUBL4DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: c9efa15dfe65570ee3f1cf16e97dd64f
Run description: Used baseline 4 for topical retrieval. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUBL4PL2c9¶

Run ID: FIUBL4PL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 5dac38ec28d1ce217342515fe7909bec
Run description: Used baseline4 for topical retrieval. Used PL2 c9 model to evaluate the sentimental score of documents.

FIUBL5DFR¶

Run ID: FIUBL5DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 2767ccea9a993d89ef197ae7452928ce
Run description: Used baseline5 for topical retrieval. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUBL5PL2c9¶

Run ID: FIUBL5PL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 2a98f140785088122ad66ffef3739117
Run description: Used baseline5 for topical retrieval. Used PL2 c9 model to evaluate the sentimental score of documents.

FIUDFRDFR¶

Run ID: FIUDFRDFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ba38fd6ffcb31ce41ed10b6438459dd0
Run description: Used DFRee for topical retrieval. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUDFRPL2c9¶

Run ID: FIUDFRPL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 51530e85df70dcebe772e4eaddde21b3
Run description: Used DFRee parameter free model for topical retrieval. Used PL2 c9 to evaluate the sentimental score of documents.

FIUpBL1DFR¶

Run ID: FIUpBL1DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 8d1a9dfefc319b3de62a7b36a47a0238
Run description: Used baseline1 as baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run based on the same baseline) and then for the polarity classification and ranking. We followed the same procedure for the own baselines and for then given ones.

FIUpBL2DFR¶

Run ID: FIUpBL2DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 2a56e2528f3dbdbb0a9fa8057a2e5852
Run description: Used baseline2 as baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run based on the same baseline) and then for the polarity classification and ranking. We followed the same procedure for the own baselines and for then given ones.

FIUpBL3DFR¶

Run ID: FIUpBL3DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: bea482ab8ba2b751e7109ec450ebea1d
Run description: Used baseline3 as baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run based on the same baseline) and then for the polarity classification and ranking. We followed the same procedure for the own baselines and for then given ones.

FIUpBL4DFR¶

Run ID: FIUpBL4DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 733ab93440848ec0eee0f785e1ddb83e
Run description: Used baseline4 as baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run based on the same baseline) and then for the polarity classification and ranking. We followed the same procedure for the own baselines and for then given ones.

FIUpBL5DFR¶

Run ID: FIUpBL5DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 799309a48d5d1a84e9998c9b8ca941d6
Run description: Used baseline5 as baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run based on the same baseline) and then for the polarity classification and ranking. We followed the same procedure for the own baselines and for then given ones.

FIUpDFRDFR¶

Run ID: FIUpDFRDFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 76bce2ec74fd36bff11a1c86113a3447
Run description: Used FIUbaseDFRee baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run) and then for the polarity classification and ranking.

FIUPL2c9DFR¶

Run ID: FIUPL2c9DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 024161e075e7f2ef754c21cba0f3c710
Run description: Used PL2 c9 for topical retrieval. Used DFRee parameter free model to evaluate the sentimental score of documents.

FIUPL2PL2c9¶

Run ID: FIUPL2PL2c9
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b72a2283f6cc450494c8f3cbc0295899
Run description: Used PL2 c9 for topical retrieval. Used PL2 c9 parameter free model to evaluate the sentimental score of documents.

FIUpPL2DFR¶

Run ID: FIUpPL2DFR
Participant: fub
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 826c42e9ad90f5cb7eed4096e943b8e9
Run description: Used FIUbasePL2c9 baseline. Used DFRee parameter free model for a first opinion evaluation (as well as the opinion run) and then for the polarity classification and ranking.

IITKGPNOSPAM¶

Run ID: IITKGPNOSPAM
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 66e76f871757942b26b9bf359c87bec9
Run description: Same as the first the first with SPAM removed in postprocessing

IITKGPTITLE1¶

Run ID: IITKGPTITLE1
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: e21d6f60c68c3b8e5860563ceb60cc40
Run description: This run is result of direct query from the two indexes. (Page Level and Sentence Level)

KGPBASE4¶

Run ID: KGPBASE4
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: b8b8525d6192e4178a70fba7620021cb
Run description: Baseline4 reranked on the basis on relevance

KGPFILTER¶

Run ID: KGPFILTER
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 5041d5441630aaa12457eff00be56f92
Run description: This is same as KGPPOS2. Documents are reranked based on the trained SUbjective Filter on the previous qrels

KGPOP¶

Run ID: KGPOP
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 60954a840a72ee5d3be9c147e4ad6b9d
Run description: This uses title

KGPPOL1¶

Run ID: KGPPOL1
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 5d3024a30ddf59d959aacd040c95197b
Run description: First polarity Title only submission

KGPPOL2¶

Run ID: KGPPOL2
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 6ac2a7eae3d8ec7fa32c4a10068ea1b8
Run description: polarity Title only submission based on IITKGPNOSPAM

KGPPOS1¶

Run ID: KGPPOS1
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 456bb1ceadd485fc915c9d9d73a9ac3a
Run description: This uses title to search and description to relevance Reranking

KGPPOS2¶

Run ID: KGPPOS2
Participant: iitkgp
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 22722b02c1a4e057038102561ecf942f
Run description: This is same as KGPPOS1. Window of 2 sentences are considered

KLEDistFBB¶

Run ID: KLEDistFBB
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 5aa8f00d3095cdb02d11fae1d1995576
Run description: Title, Description Average LM, Top N LM, Feed based Feedback

KLEDistFBT¶

Run ID: KLEDistFBT
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 606ad75e88dac765399eef74a5ca275c
Run description: Average LM, Top N Permalinks LM, feed based feedback

KLEDistLMB¶

Run ID: KLEDistLMB
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 7ed82161f0f99e7d114c20b7a0021532
Run description: Title, Description Average LM, Top N LM

KLEDistLMT¶

Run ID: KLEDistLMT
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 5eb4268f3317604405e26c6654d35cbe
Run description: Title Average LM, Top N LM

KLEDocOpinT¶

Run ID: KLEDocOpinT
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e2dfe1eab4b74a333e9acbcb33750877
Run description: Passage IR, Feedback + Document level opinion finding Amazon Review data

KLEDocOpinTD¶

Run ID: KLEDocOpinTD
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 75782019c47a1fa76899887bc9600f05
Run description: Title, Description Passage IR, Feedback + Document level opinion finding Amazon Review data

KLEPolarity¶

Run ID: KLEPolarity
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: d7aa29cfeb8e9eb4fbfb2108dd4bc91d
Run description: Title Document Level Polarity Finding Amazon Review data

KLEPsgFeedT¶

Run ID: KLEPsgFeedT
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 37ca8cbe2a8dab4a33c80c4d722368e0
Run description: Title Run Passage Retrieval Passage Feedback

KLEPsgFeedTD¶

Run ID: KLEPsgFeedTD
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 5871d75a1127b1fae2e1b5ac93984459
Run description: Title + Description Run Passage Retrieval Passage Feedbck

KLEPsgOpinT¶

Run ID: KLEPsgOpinT
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7c54fcd413b93976ae0f2cc326d9f012
Run description: Passage IR, Feedback + Passage level opinion finding Amazon Review data

KLEPsgOpinTD¶

Run ID: KLEPsgOpinTD
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: cac33a9d739287ef62108e5d279a2c26
Run description: Title, Description Passage IR, Feedback + Passage level opinion finding Amazon Review data

KLEPsgRetT¶

Run ID: KLEPsgRetT
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: a2e60d918f145916a6bae407c95a5c2f
Run description: Title Run Passage Retrival

KLEPsgRetTD¶

Run ID: KLEPsgRetTD
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: f92d7e424d42d79193bf50fbd8ee4341
Run description: Title + Description Run Passage Retrieval

KLEPsgRetTDN¶

Run ID: KLEPsgRetTDN
Participant: POSTECH-KLE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 7bece0211f370e42c729aa19a8751da5
Run description: Title + Description + Narrative Run Passage Retrieval

ku¶

Run ID: ku
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 232db0cc96349c42a36889680f2e7f01
Run description: Used out-of-the-box Indri

kudb¶

Results | Participants | Input | Summary | Appendix

Run ID: kudb
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: e3686d330b824265cb737a6bcda4cf99
Run description: indri + lucene

kudn¶

Results | Participants | Input | Summary | Appendix

Run ID: kudn
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: cfad05645b0f79df298aa6cac042c29e
Run description: indri + lucene + nonenglish blog deletion

kudnp¶

Results | Participants | Input | Summary | Appendix

Run ID: kudnp
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: b93454b360c6d7edc27e4ff050b4f309
Run description: indri + lucene + nonenglish blog deletion + pagerank

kudnps¶

Results | Participants | Input | Summary | Appendix

Run ID: kudnps
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 6002b710ac9900016d7a1f42b4d70cf7
Run description: indri + lucene + nonenglish blog deletion + pagerank + splog deletion

kunlpKLtd¶

Run ID: kunlpKLtd
Participant: KU
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 80fe02073999e1c121dcc70a2050ca2d
Run description: The retrieval method is almost same as the kunlpKLtt run except that it also use description of topics. We removed stopwords of description.

kunlpKLtdOc¶

Run ID: kunlpKLtdOc
Participant: KU
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 4ef879f8213720e34631935f5a39be95
Run description: This run is generated based on baseline "kunlpKLtd". Firstly, SVM classifier determines if a blog post (in corresponding ad-hoc retrieval results) is opinionated or not. Secondly, SVM classifier's output scores of opinionated blog post are linearly combined with topic relevant scores and lexical proximity scores to produce the final re-ranking scores. Features for SVM classifier are opinion words collected from several resources.

kunlpKLtdOs¶

Run ID: kunlpKLtdOs
Participant: KU
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: af63bc5d4a38328e9b9f44056d5c14e8
Run description: This run is generated based on baseline "kunlpKLtd". SVM classifier is employed to classify blog posts into opinionated or non-opinated class. Only opinionated ones were retained for re-ranking. The re-ranking scores are the linear combination of SVM's output scores and topic relevant scores.

kunlpKLtdPs¶

Run ID: kunlpKLtdPs
Participant: KU
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: e1ab5d73105ef5557461cde45acdfc83
Run description: This run is generated from "kunlpKLtdOc". A ternary SVM classifier is trained from the last 2 years' assessments. It's then used to classify opinionated posts into positive, negative or mixed class. Positive and negative ones were retained for re-ranking. The re-ranking scores are linear combination of SVM's output scores and opinion retrieval scores.

kunlpKLtt¶

Run ID: kunlpKLtt
Participant: KU
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 1e82111e491bfc973c1b7bdffcbe17a0
Run description: The result is generated by a open toolkit LEMUR. We index all terms including stopwords, and doesn't stem them. Retrieval model is KL, and no query expasion is processed.

kunlpKLttOc¶

Run ID: kunlpKLttOc
Participant: KU
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d6d1616068109c868eb8d27f1175744d
Run description: This run is generated based on baseline "kunlpKLtt". It was set up as same as "kunlpKLtd_opinion_combination_020_010.txt" except that the parameters for linear combination are differently adapted.

kunlpKLttOs¶

Run ID: kunlpKLttOs
Participant: KU
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 52ab53f106f1fdd9f4205acec759c626
Run description: This run is generated based on baseline "kunlpKLtt". It was set up as same as "kunlpKLtd_opinion_svm_085.txt" except that the parameters for linear combination is differently adapted.

kunlpKLttPs¶

Run ID: kunlpKLttPs
Participant: KU
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: aed0f09f68ea83c9cb34e4593e68d7b9
Run description: This run is generated from "kunlpKLttOc". The experimental issues were set up as same as the ones in "kunlpKLtdPs" except for different combination parameters.

kuo¶

Run ID: kuo
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 1edff782cf00f0d33507ab5011b11904
Run description: trigger model based

kuo2¶

Run ID: kuo2
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 60de89f017cb9c9a7253e7feb416fed5
Run description: trigger model based

kup¶

Run ID: kup
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: febcb5cd68ac4bcf08883553b5d4479c
Run description: trigger model based

kup4¶

Run ID: kup4
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 1e285a30c59f5a26c11e079ca4d9805f
Run description: trigger model based

kupc¶

Run ID: kupc
Participant: KobeU-Seki
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: ebf60b3824cfbe51fba646ff797ebbea
Run description: classification

NOpMM103¶

Run ID: NOpMM103
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 85a3e93f7df9d1e03a65161a3ee1dd4c
Run description: NOpMM103 based on baseline 1

NOpMM107¶

Run ID: NOpMM107
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 761625ef924666edd66c08ee22ef4bcb
Run description: NOpMM107 based on baseline 1

NOpMM11¶

Run ID: NOpMM11
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 8764fd1e4233c7228e6275d58fe26a93
Run description: NOpMM11 run based on baseline 1

NOpMM21¶

Run ID: NOpMM21
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: a9deecfa31125b5018090abe1f266050
Run description: NOpMM21 on baseline 2

NOpMM23¶

Run ID: NOpMM23
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 537edc73ab4a60b7f1f1cede01c9b488
Run description: NOpMM23 run based on baseline2

NOpMM27¶

Run ID: NOpMM27
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 54ab2f9ee93c467a1f76c68b9976104e
Run description: NOpMM27's run based on baseline2

NOpMM2opi¶

Run ID: NOpMM2opi
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 5be74cb4ed862a6fc7dd474e75d27bec
Run description: NOpMMopi's run based on baseline2

NOpMM31¶

Run ID: NOpMM31
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 247840afa07eaf47bc4b0f621915e566
Run description: NOpMM31 run based on baseline3

NOpMM33¶

Run ID: NOpMM33
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: d6322ba2b5c36fc03f00386ae75c9d30
Run description: NOpMM33 run on baseline3

NOpMM37¶

Run ID: NOpMM37
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 364dc01422c4537d4c2521a78d199a87
Run description: NOpMM37's run based on baseline3

NOpMM3opi¶

Run ID: NOpMM3opi
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 8d31c315f3fa02217f1eda5191f63daa
Run description: NOpMMopi'run based on baseline3

NOpMM41¶

Run ID: NOpMM41
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: b4090954393254061715ad6830c1c891
Run description: NOpMM41 run based on baseline4

NOpMM43¶

Run ID: NOpMM43
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: c7b28f944a66e77b30e8e9d8e9a33709
Run description: NOpMM43 run on baseline4

NOpMM47¶

Run ID: NOpMM47
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 1f13c38d97537a75ecde5944de33645e
Run description: NOpMM47 based on baseline4

NOpMM4opi¶

Run ID: NOpMM4opi
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d317fc4720c8b4217c96afa1dda3c09a
Run description: NOpMMopi'run based on baseline4

NOpMM51¶

Run ID: NOpMM51
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 8217cc5f413b7fd87e190be1741de5a3
Run description: NOpMM51 based on baseline 5

NOpMM53¶

Run ID: NOpMM53
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: d08209310ac8f49b220675a4913337aa
Run description: NOpMM53 run based on baseline5

NOpMM57¶

Run ID: NOpMM57
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 3db2923fd7e7be42594f27105a1ac4f9
Run description: NOpMM57 based on baseline5

NOpMM5opi¶

Run ID: NOpMM5opi
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 6415bfdd7521401606fff57323ea6b75
Run description: NOpMM_opi based on baseline 5

NOpMMopi¶

Run ID: NOpMMopi
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 436bce04665260f71bf95d1d3ffc0426
Run description: NOpMMopi based on baseline 1

NOpMMs13¶

Run ID: NOpMMs13
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 3f01b685102887cec82e11d757988c53
Run description: NOpMMs13 run based on baseline1

NOpMMs23¶

Run ID: NOpMMs23
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: a8b830ffd01bb781e1aeeee69476849d
Run description: NOpMMs23 based on baseline2

NOpMMs33¶

Run ID: NOpMMs33
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 9d7addad04571bffd60366980cfa8ac6
Run description: NOpMMs33 based on baseline3

NOpMMs43¶

Run ID: NOpMMs43
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: a94c741c89276f3501e638c89ddf4c71
Run description: NOpMMs43 based on baseline4

NOpMMs53¶

Run ID: NOpMMs53
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: d72725a680ce0ae3f68aa6c3fdd701a4
Run description: NOpMMs53 based on baseline5

NTrMM13P¶

Run ID: NTrMM13P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 39a1ac3fd7176861ba3b172acc76d316
Run description: NTrMM13P based on baseline 1

NTrMM17P¶

Run ID: NTrMM17P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: a7b97fd1902965b660957eb5c2701db6
Run description: NTrMM17P based on baseline 1

NTrMM27P¶

Run ID: NTrMM27P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 431bad25833cd51bee4796356327a363
Run description: NTrMM27P's run based on baseline2

NTrMM2opiP¶

Run ID: NTrMM2opiP
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: a52512983200ab3a7c0db9698185d088
Run description: NTrMMopiP run on baseline2

NTrMM33P¶

Run ID: NTrMM33P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 76c63154429e4df7f61bdb7cb769e146
Run description: NTrMM33P run based on baseline3

NTrMM37P¶

Run ID: NTrMM37P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: cd5980e5a6c66bbad08ffd7dc3def940
Run description: NTrMM37P's run based on baseline3

NTrMM43P¶

Run ID: NTrMM43P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 5e024f8230cf97d9f9983a0d3fcb4fab
Run description: NTrMM43P run based on baseline4

NTrMM47P¶

Run ID: NTrMM47P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: a012397d38ae3460984626146deb229b
Run description: NTrMM47P's run based on baseline4

NTrMM53P¶

Run ID: NTrMM53P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 039dce17f0bf7dafb18d4562c0cd1260
Run description: NTrMM53P run based on baseline5

NTrMM57P¶

Run ID: NTrMM57P
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 0ecf07e657743612246c57bfabf1415d
Run description: NTrMM57P's run based on baseline5

opin0kl¶

Run ID: opin0kl
Participant: USI
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 0fd59903239d0d37e5b20f738eca2204
Run description: A learning to rank system (SVM-map) is trained on the previous year's data using two features the baseline relevance score (itself based on SVM-map using BM25 and a number of other features) and an opinionatedness score (based on document term frequencies weighted by the KL-divergence between opinionated and relevant documents).

opin0svm¶

Run ID: opin0svm
Participant: USI
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 43cc117f737c1a2734fecd3e3dfc5ebb
Run description: A learning to rank system (SVM-map) is trained on the previous year's data using two features the baseline relevance score (itself based on SVM-map using BM25 and a number of other features) and an opinionatedness score (based on the confidence of an SVM that is trained to recognize opinionated documents).

opin1kl¶

Run ID: opin1kl
Participant: USI
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7e168f4a499d417f604bbb9138bc45dd
Run description: A learning to rank system (SVM-map) is trained on the previous year's data using two features the baseline1 relevance score and an opinionatedness score (based on document term frequencies weighted by the KL-divergence between opinionated and relevant documents).

opin1svm¶

Run ID: opin1svm
Participant: USI
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 0bcd971f8c28a099d7d2e9581ea085bd
Run description: A learning to rank system (SVM-map) is trained on the previous year's data using two features the baseline1 relevance score and an opinionatedness score (based on the confidence of an SVM that is trained to recognize opinionated documents).

PermMeWhu¶

Results | Participants | Input | Summary | Appendix

Run ID: PermMeWhu
Participant: WHU
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: c728a96b11c5ce5f4aa37cd9339d9bd6
Run description: Indexing all the permalinks with Terrier and retrieval all those relevant blog posts using topic titles. The retrieval model is PL2 implemented in Terrier. Within the return 1000 permalinks, those belong to a same feed are combined to get a weight to rank the feednos. 100 feeds with most high weight are submitted here.

PermQeWhu¶

Results | Participants | Input | Summary | Appendix

Run ID: PermQeWhu
Participant: WHU
Track: Blog
Year: 2008
Submission: 8/10/2008
Type: automatic
Task: feed
MD5: c75dc9a0508204bbd627edbfc1c3bb08
Run description: Indexing all the permalinks with Terrier and retrieval all those relevant blog posts using topic titles and an expanded seed ,for each topic, gathering from Wikipedia and Delicious. The retrieval model is PL2 implemented in Terrier. For each topic, combine the weight of the topic title in returned permalinks as well as the weight of expanding queries in their returned permalinks according to a special proportion. Then combing the weight of all permalinks belong a same feeds and rank the feednos, submitting the first 100 here.

prisba¶

Run ID: prisba
Participant: BUPT_pris_
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: automatic
Task: baseline
MD5: a878258180a53374c488416bf24aa874
Run description: This is a title only automatic run. We used INDRI toolkit for this task.

prisbm¶

Run ID: prisbm
Participant: BUPT_pris_
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: manual
Task: baseline
MD5: 66e93c5e98a636eda192d785c8931ddb
Run description: We used INDRI's structual query language to combine the topic and some terms we expanded using Google's relevant result.

prisoa1¶

Run ID: prisoa1
Participant: BUPT_pris_
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ac011f34c7ea62bf27206fc4749439ff
Run description: the titile-only run based on "prisba"; using Maxent model to re-ranking

prisom1¶

Run ID: prisom1
Participant: BUPT_pris_
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: manual
Task: opinion
MD5: 04c9e0b7554b087ad49d395c22958562
Run description: based on "prisbm"; using Maxent model to re-rank

run0¶

Run ID: run0
Participant: USI
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: automatic
Task: baseline
MD5: af8e877823ec7a79e053547196b3f70e
Run description: Terrier's DFR_BM25 model used to generate 1000 results per query. SVMmap learning-to-rank system trained on 2006/07 topics to rerank results. Additional features provided to learning system query length, permalink inlink count, permalink anchor-text similarity, delicious bookmark count and delicious tag similarity.

SplBaseT¶

Run ID: SplBaseT
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: automatic
Task: baseline
MD5: 48f1923514e8532f629dd1a6f01bde37
Run description: This run only used title field query words and combined some expansion based on google sets.

SplBaseTD¶

Run ID: SplBaseTD
Participant: UTD_SLP_Lab
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: automatic
Task: baseline
MD5: fcca38886051e9a369ff49364d399f68
Run description: This run adopts some query word selection strategies using both title and description field based on POS, IDF&IQF, and TF*IDF based weighting method. In addition, our approach for this run consider proper nouns processing and pseudo feedback.

svmMap¶

Run ID: svmMap
Participant: USI
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 75c16c8f9358abc8b7f4e4dd75ec4371
Run description: using svm-map for learning by 6 features extracted for each feed and topic

THUopnTmfRmf¶

Run ID: THUopnTmfRmf
Participant: THUIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: fddb772a91561e934d38e876008a5867
Run description: Lexicon-based re-ranking with HowNet. Quadratic combination of relevant and opinionate scores. Weightings on both permalinks and feeds.

THUopnTmfRQ¶

Run ID: THUopnTmfRQ
Participant: THUIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: fcca6bea9b77df81473f4749a847943e
Run description: Quadratic combination of relevant and opinionate scores based a generative model. Opinonate score is given with Hownet, using co-ocurrence MLE of query words and sentiment lexicons. Weighting on both permalinks and feeds.

THUopnTwpGen¶

Run ID: THUopnTwpGen
Participant: THUIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3dfb2720cfb687aef8235b1e9601eaa3
Run description: Quadratic combination of relevant and opinionate scores based a generative model. Opinonate score is given with Hownet, using co-ocurrence MLE of query words and sentiment lexicons.

THUopnTwpRRM¶

Run ID: THUopnTwpRRM
Participant: THUIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 545d5efe142999dfdd7560405d4cfd5b
Run description: Lexicon-based re-ranking with HowNet. Quadratic combination of relevant and opinionate scores.

THUpolTmfPNR¶

Run ID: THUpolTmfPNR
Participant: THUIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 261b70e17c26f8ca517659f2f67a0f37
Run description: Lexicon-based re-ranking with HowNet positive and negative words respectively. Quadratic combination of relevant and opinionate scores. Weightings on both permalinks and feeds.

THUpolTwpRD¶

Run ID: THUpolTwpRD
Participant: THUIR
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 953d822c4148d89791ae43f8d41ec344
Run description: Lexicon-based re-ranking with sentiment dictionary which has been trained according to past queries based on Hownet. Using the thresholds of independent pos_score and neg_score to define pos, neg and mixed document.

THUrelTwp¶

Run ID: THUrelTwp
Participant: THUIR
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: c9caa2abffa7ae4c7457527d21cdbb3b
Run description: probabilistic model, word pair weighting, title-only automatic.

THUrelTwpmf¶

Run ID: THUrelTwpmf
Participant: THUIR
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 12830f7f87a785815a5d683f53dfd582
Run description: probabilistic model, word pair weighting, title-only automatic, multi-field ranking (permalinks, feeds)

tnobase1¶

Run ID: tnobase1
Participant: tno
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 73ae2d7ee35e7d6d3803b30ad21abed0
Run description: char n-grams 2-6, information diffusion kernel

tnobase2¶

Run ID: tnobase2
Participant: tno
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: dff830bdd3c0c3581985ce1dae0618e2
Run description: char n-grams 2-6, information diffusion kernel

tnobase3¶

Run ID: tnobase3
Participant: tno
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: dadd1f3d6b4ca68f8073d682a894976f
Run description: char n-grams 2-6, information diffusion kernel

tnobase4¶

Run ID: tnobase4
Participant: tno
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: dccff17c61f3fb2fd4b3bf9f56e10110
Run description: char n-grams 2-6, information diffusion kernel

tnobase5¶

Run ID: tnobase5
Participant: tno
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: f421b4f6f1d023b13207f63bc523cf2f
Run description: char n-grams 2-6, information diffusion kernel

top3dt1mP5¶

Run ID: top3dt1mP5
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 315e11245768e22ff392689853369345
Run description: wdqbdt1mP5 applied to top3 baselines combined (top3dt1mRd)

top3dt1mRd¶

Run ID: top3dt1mRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 901dd5116bb9b7e77aca7cd29fc6e1c2
Run description: combined top 3 baseline, dynamic tuning, manual lexicon weights, opinion reranking

top3dt1pP5¶

Run ID: top3dt1pP5
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 331d7e77b674bf998b25f390b4270d3e
Run description: wdqbdt1pP5 applied to top3 baseline combined (top3dt1mRd)

top3wt1mRc¶

Run ID: top3wt1mRc
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 5981de4323ba0c982c4db4d06fca6c8f
Run description: combined 3 baseline, dynamic tuning (2007), manual lexicon weights, opinion reranking

uams08b1pr¶

Run ID: uams08b1pr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e902c196daacbe79c7724422cf16003c
Run description: Reranking based on the ratio of opinionated words to post length. Highest ratio ranked on top.

uams08b2pr¶

Run ID: uams08b2pr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: f6ba077005203383328de7d9915c5a19
Run description: Reranking based on the ratio of opinionated words to post length. Highest ratio ranked on top.

uams08b3pr¶

Run ID: uams08b3pr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: a589b3c8f37862e600471f722f517e0c
Run description: Reranking based on the ratio of opinionated words to post length. Highest ratio ranked on top.

uams08b4pr¶

Run ID: uams08b4pr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: a9ffcb875c6d63251c6f99abea759115
Run description: Reranking based on the ratio of opinionated words to post length. Highest ratio ranked on top.

uams08b5pr¶

Run ID: uams08b5pr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 15e6837800e41bdc0329b1af3f5f48d2
Run description: Reranking based on the ratio of opinionated words to post length. Highest ratio ranked on top.

uams08bl¶

Run ID: uams08bl
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: b81560cffaed83f49beef0443f67dfba
Run description: We use an expert retrieval model; the association values are estimated based on blog specific features like number of comments, post length, and posting time. Finally, we combine the run with a title-only run to enhance precision.

uams08class¶

Run ID: uams08class
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: automatic
Task: baseline
MD5: d9f97e95502ff884f3247f1f55636b5e
Run description: Query enhancement using MRF (and translated to Indri). Query expansion on an external news corpus and Wikipedia. Weights for expanded queries and original query are estimated on a per topic basis. Document priors based on credibility indicators like spelling and capitalization.

uams08clspr¶

Run ID: uams08clspr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 8965889374ee150a005d6cfad5256749
Run description: The ratio of opinionated words to post length is used as prior in the retrieval process. Other settings are equal to the baseline (e.g. query models, credibility etc).

uams08n1o1¶

Run ID: uams08n1o1
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 6/11/2008
Type: automatic
Task: baseline
MD5: 6e57cbd5a81ab615ad7a7e68d5a918b7
Run description: Query enhancement using MRF (and translated to Indri). Query expansion on an external news corpus. Equal weights for expanded and original query, for all topics the same weight. Document priors based on credibility indicators like spelling and capitalization.

uams08n1o1sp¶

Run ID: uams08n1o1sp
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b4b7f9ef4efdfdbdc6021ff5de6a6be3
Run description: The ratio of opinionated words to post length is used as prior in the retrieval process. Other settings are equal to the baseline (e.g. query models, credibility etc).

uams08nonr¶

Run ID: uams08nonr
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 06b9038841caf78707ff1c4c9493856f
Run description: We use an expert retrieval model; the association values are estimated based on blog specific features like number of comments, post length, and posting time. Finally, we enhance presicion by combining the run with a title-only run. This final score indicates the relevance of a blog; besides this relevance we also estimate non-relevance using the average retrieval score per blog over the 2007 topics. Dividing the relevant by the non-relevant score gives us the final retrieval score.

uams08nw¶

Run ID: uams08nw
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 9bd85fbf68159f51ae272d3386ef50ed
Run description: We use an expert retrieval model; the association values are estimated based on blog specific features like number of comments, post length, and posting time. Query models are constructed using two external corpora news and Wikipedia, where the weights for terms are dependent on document scores, corpus scores, and term occurences.

uams08pnw¶

Run ID: uams08pnw
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 8/9/2008
Type: automatic
Task: feed
MD5: 3d996754d0f83a4552d2295f32ddaee2
Run description: We use an expert retrieval model; the association values are estimated based on blog specific features like number of comments, post length, and posting time. Query models are constructed using two external corpora (news and Wikipedia) and the blog corpus itself. The weights for terms are dependent on document scores, corpus scores, and term occurences.

uams08qm4it1¶

Run ID: uams08qm4it1
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 98bc21def207451de58b15e61cffcdbe
Run description: Query is expanded using an external news corpus and Wikipedia. Models used for expansion are QM4IT. No credibility used, no additional opinion finding features.

uams08qm4it2¶

Run ID: uams08qm4it2
Participant: UAms_De_Rijke
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 1019193e3d4d430ca469aad3ef9a80b9
Run description: Query is expanded using an external news corpus and the blog post corpus. Models used for expansion are QM4IT. No credibility used, no additional opinion finding features.

UB¶

Run ID: UB
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7fbe6c5db6aae140e2c237ee84745311
Run description: This is the baseline opinion finding run. it does the minimum amount of pruning from the original retrieved list of documents. It uses the title as a phrase query, each word in title as capitalized, and finally as individual words.

UBDist1¶

Run ID: UBDist1
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: e43e4c6c3598629c22715a222ff41e70
Run description: This is the title-only automatic baseline run. Sample query is #combine( query_title )

UBDist2¶

Run ID: UBDist2
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 2a1bb0e213d5ed106decf90f112295ad
Run description: 1. Title only phrase query 2. Words in Title OR'ed #combine( query_title ) #1(query_title)

UBDist3¶

Run ID: UBDist3
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: e040154e97287b2ba93dbaf5018d9b75
Run description: 1. Title as Phrase 2. Title as combined 3. Query Expansion Top 2 doc with Top 50 terms

UBDist4¶

Run ID: UBDist4
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: d2a01c4eeb209bb5f9b637254dcfd493
Run description: 1. Title as Phrase 2. Title as combined 3. Words in description and narrative with stop words removed 3. Query Expansion Top doc with Top 40 terms

UBop1¶

Run ID: UBop1
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: fb214d195eff8e3aaeb5edb5feef851f
Run description: This run takes the baseline run and applies more opinion finding techniques on the returned results. Uses UB as the baseline run.

UBpol1¶

Run ID: UBpol1
Participant: SUNY_Buffalo
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 97797d87a0bd44b8420646cf7e7c2330
Run description: This is the baserun for polarity task. This is based on the ratio of positive, negative, objective and length of document.

uicirnoa¶

Run ID: uicirnoa
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 890c35853860328f86bfacfa13e2e974
Run description: This baseline run is obtained by concept-based information retrieval system. The query-document similarity consists of phrase-similarity and term similarity.

uicirwa¶

Run ID: uicirwa
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 7beb9b31a04f4224276c8fd12d4e8383
Run description: The run is obtained by a concept-based information retrieval system. Each document's similarity consists of a phrase similarity and a term similarity. Each query is tried to retrieved a synonym in wikipedia. Moreover, we utilize three methods of query expansions, web feed back, wikipedia feed back and pseudo feed back. For each query, it is retrieved on the basis of concept in the query, query terms and 20 epansion terms.

uicop1bl1¶

Run ID: uicop1bl1
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ee6b0ecedd76d33fee94be0d69bd2674
Run description: the run is obtained on the basis of baseline1.

uicop1bl1r¶

Run ID: uicop1bl1r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: f1fa64dce62d514f8f2e2472e066650f
Run description: This opinion run is the reranking of baseline1. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking all documents in the baseline1.

uicop1bl2¶

Run ID: uicop1bl2
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b26f626b36fe14840e9936b0c7730b3b
Run description: on the basis of baseline2.

uicop1bl2r¶

Run ID: uicop1bl2r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7cc86e658c4a5fd00c9af9f08deb834a
Run description: This opinion run is the reranking of baseline2. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop1bl3¶

Run ID: uicop1bl3
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 82173ef04ce9212251530e3c4571408b
Run description: Based on baseline3.

uicop1bl3r¶

Run ID: uicop1bl3r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ed4b5056b9395e4dee8a389bc26d54da
Run description: This opinion run is the reranking of baseline3. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop1bl4¶

Run ID: uicop1bl4
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 6034c246fdfa4bcfc5f202d1be16b8ae
Run description: Based on baseline 4.

uicop1bl4r¶

Run ID: uicop1bl4r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 020094512fb3d07d135a1da8186da7d8
Run description: This opinion run is the reranking of baseline2. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop1bl5¶

Run ID: uicop1bl5
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: f3f77a8f58e73b3fba1b26e3bab99c0e
Run description: Based on baseline5.

uicop1bl5r¶

Run ID: uicop1bl5r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b7ddea1940fe0b3f323d126384c381d1
Run description: This opinion run is the reranking of baseline5. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop2bl1¶

Run ID: uicop2bl1
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 1acceaa5336a10ea96bca31cb63b9d2d
Run description: based on baseline1 and concept technology is used

uicop2bl2¶

Run ID: uicop2bl2
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: c1dc402cfbd8811461c061cd14f0b1e6
Run description: based on baseline2. Multiple concepts filter is utilized

uicop2bl2r¶

Run ID: uicop2bl2r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: eb212eace9121438e14dc5b1b06f6017
Run description: The second opinion run is the reranking of baseline2. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop2bl3¶

Run ID: uicop2bl3
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ab323a77eab28a9d1e6d6dfbf344670f
Run description: Based on baseline3. For query with multiple concepts, emphasize documents with all concepts.

uicop2bl3r¶

Run ID: uicop2bl3r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: a6b31932cf65f959d746c8b3ce2e38e7
Run description: This second opinion run is the reranking of baseline2. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop2bl4¶

Run ID: uicop2bl4
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 532318aac8431eb91ca6ae27da3bc7c2
Run description: This run is on the basis of baseline4. Overemphasis on documents contain multiple query concepts is used.

uicop2bl4r¶

Run ID: uicop2bl4r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 5757bb92aa6ebb150cea6ef428225689
Run description: This opinion run is the reranking of baseline4. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicop2bl5¶

Run ID: uicop2bl5
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9a179af653f11a1df24039c53f0283e8
Run description: the second opinion run based on baseline5.

uicop2bl5r¶

Run ID: uicop2bl5r
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 64e1e7959934ad453b02c3704f082c4e
Run description: This opinion run is the reranking of baseline5. Instead of eliminating documents from the provided baselines, we simply put them at the bottom of the ranking to keep each ranking 1000 documents.

uicoprun1¶

Run ID: uicoprun1
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 0614fbe93885e055022a6a9d5a7fc102
Run description: This opinion-finding results is obtained on the basis of the own baseline "uicirwa".

uicoprun2¶

Run ID: uicoprun2
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d333d6af6e3cd382731ad7fb11245a46
Run description: This run is also on the basis of baseline of "uicirwa". Moreover, in this run, a technology which emphasize the documents with multiple concepts in the query is used.

uicpol1bl1¶

Run ID: uicpol1bl1
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 4ce64db13f72bd64e2242f8bfa9cde79
Run description: The polarity run based on the baseline1.

uicpol1bl2¶

Run ID: uicpol1bl2
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 6948b782a647fcbfb8a1a74fb1a77397
Run description: The polarity run based on the baseline2.

uicpol1bl3¶

Run ID: uicpol1bl3
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 16ed27101cc76c657d3af993b8c03ffd
Run description: The polarity run based on baseline3.

uicpol1bl4¶

Run ID: uicpol1bl4
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: bb3ae1e3054356a0ce4fdf7f4d52d436
Run description: The polarity run based on baseline4.

uicpol1bl5¶

Run ID: uicpol1bl5
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: bcb6e5a87588e30d587e7b40ac4a1cc8
Run description: The polarity run based on baseline5

uicpol2bl2¶

Run ID: uicpol2bl2
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 0168d155be4f5628783925469bd284b5
Run description: The polarity run based on the baseline2.

uicpol2bl3¶

Run ID: uicpol2bl3
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: d71595364232f2192d2e7f5632685560
Run description: The second polarity run based on baseline3.

uicpol2bl4¶

Run ID: uicpol2bl4
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 1cd9a446b34749760942dfe143fbdcac
Run description: The second polarity run is based on the baseline4 and the opinion results of baselin4.

uicpol2bl5¶

Run ID: uicpol2bl5
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 135c513820d4777c347b85e1d2e2a97e
Run description: The second plarity run on the basis of baseline5.

uicpolrun1¶

Run ID: uicpolrun1
Participant: UIC_IR_Group
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 59f7096ae8b98aaf73c538f3b199baea
Run description: This polarity run is based on our own baseline. Utilizing the opinion results from the opinion task.

UIUCb08uwTtl¶

Run ID: UIUCb08uwTtl
Participant: UIUC
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 24421491860297fa5bfbc37b2ff553e8
Run description: We used Indri to index the permalinks files. The query was formulated such that the presence of title words is enforced in the retrieved documents. We used pseudo relevance feedback to boost the performance.

UIUCb08wtnp¶

Run ID: UIUCb08wtnp
Participant: UIUC
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 2122569efb4527a51907ab22f354fed4
Run description: We used Indri to index the permalinks files. The query was formulated using a weighted combination of a) title words, b) noun phrases in the description, and c) words in description. We used pseudo relevance feedback to boost the performance.

UMassBlog1¶

Run ID: UMassBlog1
Participant: uMass
Track: Blog
Year: 2008
Submission: 8/6/2008
Type: automatic
Task: feed
MD5: 17457979afa35cc03a607afb9c0f499e
Run description: language modeling approach query likelihood of concatenated permalinks query likelihood of individual permalinks

UMassBlog2¶

Run ID: UMassBlog2
Participant: uMass
Track: Blog
Year: 2008
Submission: 8/6/2008
Type: automatic
Task: feed
MD5: c02bdb7fe7dd469d70d7e5b81be22bc7
Run description: language modeling approach query likelihood of concatenated permalinks query likelihood of individual permalinks pseudo relevance feedback

UMassBlog3¶

Run ID: UMassBlog3
Participant: uMass
Track: Blog
Year: 2008
Submission: 8/6/2008
Type: automatic
Task: feed
MD5: df3c2a249bde09ba55f29c30a5a31a96
Run description: language modeling approach query likelihood of concatenated permalinks query likelihood of individual permalinks

UMassBlog4¶

Run ID: UMassBlog4
Participant: uMass
Track: Blog
Year: 2008
Submission: 8/6/2008
Type: automatic
Task: feed
MD5: 111ef041851823e9f1af846dd1ee08e4
Run description: language modeling approach query likelihood of concatenated permalinks query likelihood of individual permalinks weighting recently updated postings

UniNEBlog1¶

Run ID: UniNEBlog1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: ed8fa7b92b08a1db96489ac67bea62cc
Run description: Fusion of three runs. The first run is a title-only run based on a 2-word indexing strategy, using the Okapi model and Rocchio Query Expansion. The second run is also based on a 2-word indexing strategy, using the DFR-PL2 model. The last uses the DFR-PB2 model for retrieving and is based on a single word index.

UniNEBlog2¶

Run ID: UniNEBlog2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: db1a25eed664f89c39861ff9b94048c6
Run description: Fusion of two title-only runs based on a 2-Word indexing strategy and the Okapi retrieval model. One is using Rocchio Pseudo Relevance Feedback QueryExpansion and the other uses Wikipedia for light Query Expansion

UniNEopLR1¶

Run ID: UniNEopLR1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 5883d80f42ae5a44a95f6d79e97d5f83
Run description: Opinion retrieval run using Logistic Regression based on run UniNEBlog1

UniNEopLR2¶

Run ID: UniNEopLR2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 66131ad4df7d18f03478b0f5e61d809b
Run description: Opinion retrieval run using Logistic Regression based on run UniNEBlog2

UniNEopLRb1¶

Run ID: UniNEopLRb1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3c7ada4e03679e9871f6895c609e8383
Run description: Opinion retrieval run using Logistic Regression based on run baseline1

UniNEopLRb2¶

Run ID: UniNEopLRb2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 621fc84e822467923cc34f5d081ceac7
Run description: Opinion retrieval run using Logistic Regression based on run baseline2

UniNEopLRb3¶

Run ID: UniNEopLRb3
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9d7aedc63fd5c9af6fd36d5b31161f6c
Run description: Opinion retrieval run using Logistic Regression based on run baseline3

UniNEopLRb4¶

Run ID: UniNEopLRb4
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 626b89b760981c4fed5e42ad4b9185c9
Run description: Opinion retrieval run using Logistic Regression based on run baseline4

UniNEopLRb5¶

Run ID: UniNEopLRb5
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 8fbf19fef02826859d57151ae1cb6ee6
Run description: Opinion retrieval run using Logistic Regression based on run baseline5

UniNEopZ1¶

Run ID: UniNEopZ1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 2334d268aec0d848b64c69be97ab5398
Run description: Opinion retrieval run using Corpus based statistics based on UniNEBlog1

UniNEopZ2¶

Run ID: UniNEopZ2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3fae4eb0b89655e287e1fd3efb0cea19
Run description: Opinion retrieval run using Corpus based statistics based on UniNEBlog2

UniNEopZb1¶

Run ID: UniNEopZb1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 798014bd3b62c1cf8e7a36c0bbaff03d
Run description: Opinion retrieval run using Corpus based statistics based on baseline1

UniNEopZb2¶

Run ID: UniNEopZb2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d9e4ef82c2983f2495f7a8b9aa6e61c0
Run description: Opinion retrieval run using Corpus based statistics based on baseline2

UniNEopZb3¶

Run ID: UniNEopZb3
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 1cb9faff919caf81ff9c1e097011ac6c
Run description: Opinion retrieval run using Corpus based statistics based on baseline3

UniNEopZb4¶

Run ID: UniNEopZb4
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 606255eed4c6c31ca053a399bc16a206
Run description: Opinion retrieval run using Corpus based statistics based on baseline4

UniNEopZb5¶

Run ID: UniNEopZb5
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b299e6d244983e2b54ccd330737eedc3
Run description: Opinion retrieval run using Corpus based statistics based on baseline5

UniNEpolLR1¶

Run ID: UniNEpolLR1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: bcfef699129db5c42016d94710130c3d
Run description: Polarity run using Logistic Regression based on run UniNEBlog1

UniNEpolLRb1¶

Run ID: UniNEpolLRb1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: b4dd52ffec96f2e22a582bf911d56b66
Run description: Polarity run using Logistic Regression based on baseline1

UniNEpolLRb2¶

Run ID: UniNEpolLRb2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 92dd85b5e48d3be4da0dac8908f1a21c
Run description: Polarity run using Logistic Regression based on baseline2

UniNEpolLRb3¶

Run ID: UniNEpolLRb3
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: b725429780ce5d4b65a755cc5aa9881d
Run description: Polarity run using Logistic Regression based on baseline3

UniNEpolLRb4¶

Run ID: UniNEpolLRb4
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 5a5ef5fe31d683960d7dc8c438abd060
Run description: Polarity run using Logistic Regression based on baseline4

UniNEpolLRb5¶

Run ID: UniNEpolLRb5
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: a0755acfcf9cca922659397053e0d090
Run description: Polarity run using Logistic Regression based on baseline5

UniNEpolZ1¶

Run ID: UniNEpolZ1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 839402ea884469126867cb4cb16789bf
Run description: Polarity run using Corpus based statistics based on UniNEBlog2

UniNEpolZb1¶

Run ID: UniNEpolZb1
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 2ddc98b2652a43b9b3551a9566b04f13
Run description: Polarity run using Corpus based statistics based on baseline1

UniNEpolZb2¶

Run ID: UniNEpolZb2
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: e3bfaa1d92af09308f984e3e9ea40074
Run description: Polarity run using Corpus based statistics based on baseline2

UniNEpolZb3¶

Run ID: UniNEpolZb3
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: b3cbf3012b7e8f91f0997f4f66cc85b9
Run description: Polarity run using Corpus based statistics based on baseline3

UniNEpolZb4¶

Run ID: UniNEpolZb4
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 69501bd5729d573649f64e76bb6a0ee4
Run description: Polarity run using Corpus based statistics based on baseline4

UniNEpolZb5¶

Run ID: UniNEpolZb5
Participant: UniNE
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 779185b42af7a3f5c8296a964b55d569
Run description: Polarity run using Corpus based statistics based on baseline5

uogBLProx¶

Run ID: uogBLProx
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 6/12/2008
Type: automatic
Task: baseline
MD5: 4a0855090d3c50155ca70d82547bfaf6
Run description: DFR weighting scheme without opinion features

uogBLProxCE¶

Run ID: uogBLProxCE
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 6/12/2008
Type: automatic
Task: baseline
MD5: 05c49096e01cdf13b7ea0df09795cbbb
Run description: DFR weighting scheme plus query expansion. No opinion features applied.

uogOP1intL¶

Run ID: uogOP1intL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 98b64966efcbd66e62dd0a68868d6cbb
Run description: internal dictionary with logarithmic score combination over baseline 1

uogOP1ofL¶

Run ID: uogOP1ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 3a784ea7b0956a46b557ad2d01f3d110
Run description: Using OpinionFinder with logarithmic score combination over baseline 1

uogOP1Pr¶

Run ID: uogOP1Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: f3b13d6e636c328938e0c72f6b0bbf57
Run description: opinion proximity applied on baseline 1

uogOP1PrintL¶

Run ID: uogOP1PrintL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ac3534ddb597eac561cada10cae35e18
Run description: Opinion proximity and internal dictionary applied on baseline 1

uogOP2intL¶

Run ID: uogOP2intL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e146315f48e1f9db30e05eaa76b90623
Run description: Internal dictionary with logarithmic score combination over baseline 2

uogOP2ofL¶

Run ID: uogOP2ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 10c9f82e52562a9b5896fbe50ef1c19c
Run description: Using OpinionFinder with logarithmic score combination over baseline 2

uogOP2Pr¶

Run ID: uogOP2Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 8b838f603b411e3cc08437fe44cd5584
Run description: Opinion proximity applied on baseline 2

uogOP2PrintL¶

Run ID: uogOP2PrintL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 568378d40542fdfae72c92b6fd899980
Run description: Opinion proximity and internal dictionary applied on baseline 2

uogOP3intL¶

Run ID: uogOP3intL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 52b91f7257c4f0d419de2ee0a7f49ceb
Run description: Using internal dictionary with logarithmic score combination over baseline 3

uogOP3ofL¶

Run ID: uogOP3ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d267ab3f0447c6512296625c129b36f4
Run description: Using OpinionFinder with logarithmic score combination over baseline 2

uogOP3Pr¶

Run ID: uogOP3Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 843fa07c3aa4227fa9ed7859f437705b
Run description: Opinion proximity applied on baseline 3

uogOP3PrintL¶

Run ID: uogOP3PrintL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: fa854e2f3d778183f596f4a0a5d954ef
Run description: Opinion proximity and internal dictionary applied on baseline 3

uogOP4intL¶

Run ID: uogOP4intL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9b4163dc7e484269968bb3fe3a3f7ca3
Run description: Using internal dictionary with logarithmic score combination over baseline 4

uogOP4ofL¶

Run ID: uogOP4ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 0be1a48b1cbb91fcb63c0d6e262d1375
Run description: Using OpinionFinder with logarithmic score combination over baseline 4

uogOP4Pr¶

Run ID: uogOP4Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 4c68a60196d16efd14382d246fe5f922
Run description: Opinion proximity applied on baseline 4

uogOP4PrintL¶

Run ID: uogOP4PrintL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e1d338dab29adacf0a6b8efe3bb59ed1
Run description: Opinion proximity and internal dictionary applied on baseline 4

uogOP5extL¶

Run ID: uogOP5extL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7b898e2b127964a721876f7df14472a7
Run description: Using external dictionary with logarithmic score combination over baseline 5

uogOP5ofL¶

Run ID: uogOP5ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 7103ac6c96a4cce04abeb832697361d4
Run description: Using OpinionFinder with logarithmic score combination over baseline 5

uogOP5Pr¶

Run ID: uogOP5Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e5dcd32786103515e7b4086c0b126a88
Run description: Opinion proximity applied on baseline 5

uogOP5PrintL¶

Run ID: uogOP5PrintL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 25308f1048454cecb5db1d0b90b3167b
Run description: Opinion proximity and internal dictionary applied on baseline 5

uogOPb1intL¶

Run ID: uogOPb1intL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: cb69764f98c466516db517aaa8706694
Run description: internal dictionary applied on baseline

uogOPb1ofL¶

Run ID: uogOPb1ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: a026be51d3e792f4a043ddeb950969c5
Run description: OpinionFinder applied on baseline

uogOPb1Pr¶

Run ID: uogOPb1Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 68be65a97c8ee1b6145893ad66265496
Run description: Opinion proximity applied on baseline

uogOPb1PrinL¶

Run ID: uogOPb1PrinL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 9751d25009f5d7acd357a7c901f5dd17
Run description: Opinion proximity and internal dictionary applied on baseline

uogOPb2intl¶

Run ID: uogOPb2intl
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: af16c8de1636a8f93c655742621b9688
Run description: internal dictionary applied on baseline

uogOPb2ofL¶

Run ID: uogOPb2ofL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: d33926cfce558d39b79b3d14574dc1e8
Run description: OpinionFinder applied on baseline

uogOPb2Pr¶

Run ID: uogOPb2Pr
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 6bbd17d24a8639e8e526a5ae4cd782bf
Run description: Opinion proximity applied on baseline

uogOPb2PrinL¶

Run ID: uogOPb2PrinL
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: aca1660a28e2d7172b8fa36e1ca44fc6
Run description: Opinion proximity and interal dictionary applied on baseline

uogPL11¶

Run ID: uogPL11
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 8a042fa16f598c9031505f41d6026311
Run description: Polarity over baseline 1

uogPL21¶

Run ID: uogPL21
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 9f224a6f0148d5e8ad630f6b1378f401
Run description: Polarity over baseline 2

uogPL31¶

Run ID: uogPL31
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 19abeea31d6df1f7239c2d78437dd1b1
Run description: Polarity over baseline 3

uogPL41¶

Run ID: uogPL41
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: edf1e0764b8c7a770cb8622f7493e98e
Run description: Polarity over baseline 4

uogPL51¶

Run ID: uogPL51
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 2e04ce8825c9edafcd19e36b87dcb59c
Run description: Polarity over baseline 5

uogPLb11¶

Run ID: uogPLb11
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 817eda51b5ef2d57ca061a30ad3aedbe
Run description: Polarity over baseline uogBLProx

uogPLb21¶

Run ID: uogPLb21
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 8f7184e53b17c24cd84ad595ea01690e
Run description: Polarity over baseline uogBLProxCE

uogTrBDfe¶

Run ID: uogTrBDfe
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 045eff5d06ecbc080e945c4005db0586
Run description: Baseline voting system

uogTrBDfeNP¶

Run ID: uogTrBDfeNP
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 6c767575b59d10dc397dfd3af24fe1cd
Run description: Baseline voting system + proximity

uogTrBDfeNPD¶

Run ID: uogTrBDfeNPD
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: 9c6a8d012fe7badab3705e7c0f67b16e
Run description: Baseline voting system + proximity + dates

uogTrBDfeNWD¶

Run ID: uogTrBDfeNWD
Participant: UoGtr
Track: Blog
Year: 2008
Submission: 8/11/2008
Type: automatic
Task: feed
MD5: b9bd777ea51b48811e8dde589f226374
Run description: Baseline voting system + external resource

UWBase1¶

Run ID: UWBase1
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: c4870cb7e8689f644174ad452a437270
Run description: bm25, single terms extracted from topic titles

UWBase2¶

Run ID: UWBase2
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: b79b0b0480ad449a48849e5808de39f0
Run description: bm25; phrase-based retrieval; phrases were automatically identified in topic titles by matching them to Wikipedia article titles.

UWnb1Op¶

Run ID: UWnb1Op
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 20e48836b815313420fca92075691b36
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWnb1Pol¶

Run ID: UWnb1Pol
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: a4644c0a3138e7ed3a54ce2f39b7ed65
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

UWnb2Op¶

Run ID: UWnb2Op
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: e33f9d37b6431d0dbc257a15c4bdaa90
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWnb2Pol¶

Run ID: UWnb2Pol
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: af242e15c19c5ed514a432c03a3e4ff9
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

UWnb3Op¶

Run ID: UWnb3Op
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: ff5cc58336ac57557361d0a9c121f89d
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWnb3Pol¶

Run ID: UWnb3Pol
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 8f672edae1c72a0be25c2b6c95600641
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

UWnb4Op¶

Run ID: UWnb4Op
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 386d23d9a477aee5c72a8a17db1604af
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWnb4Pol¶

Run ID: UWnb4Pol
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 7f20a2b6525c7930f0ae28d553eb0a92
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

UWnb5Op¶

Run ID: UWnb5Op
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 82b00f2be1b26cdd48119e43f26ae93d
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWnb5Pol¶

Run ID: UWnb5Pol
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 3506b715dc20c7bc25913d5c481acffe
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

UWopinion1¶

Run ID: UWopinion1
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: b99bb3ce73efaae3fc4668ec0538746d
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWopinion2¶

Run ID: UWopinion2
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: opinion
MD5: 313ee032d368513d19897fb6b9fc25a0
Run description: Subjective words/phrases weighted by KLD were used in ranking.

UWpolarity1¶

Run ID: UWpolarity1
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 0a0e67fdc2e133c5467b5467586df7de
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

UWpolarity2¶

Run ID: UWpolarity2
Participant: UWaterlooEng
Track: Blog
Year: 2008
Submission: 7/2/2008
Type: automatic
Task: polarity
MD5: 22a5ed189556fed4671e01f6fa7a2463
Run description: Positive/negative subjective words and phrases weighted by KLD were used in ranking.

wdoqlnvN¶

Run ID: wdoqlnvN
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 6/9/2008
Type: automatic
Task: baseline
MD5: 0052976c1b1c0ae99fe442a7a06e684b
Run description: post-retrieval reranking for performance optimization

wdoqsBase¶

Run ID: wdoqsBase
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 6/9/2008
Type: automatic
Task: baseline
MD5: cbb09829d6b2bf0e1d9882952984795d
Run description: Web-based (Google, Wikipedia) query expansion post-retrieval reranking for performance optimization fusion (result merging)

wdqbdt1mP5¶

Run ID: wdqbdt1mP5
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: c21d2db17de0181a9adf4ffcc4b16d7f
Run description: title only baseline (wdoqsBase), manual lexicon weights, polarity reranking

wdqbdt1mRd¶

Run ID: wdqbdt1mRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: ac5a84b8821909741d820275a5dc231c
Run description: title only baseline (wdoqsBase), dynamic tuning, manual lexicon weights, opinion reranking

wdqbdt1pP5¶

Run ID: wdqbdt1pP5
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: polarity
MD5: 57605cbfa441449cd9db5070d75240a0
Run description: title only baseline (wdoqsBase), probabilistic lexicon weights, polarity reranking

wdqbdt1pRd¶

Run ID: wdqbdt1pRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 823e4e10ba51910fb7354d527df000fc
Run description: title only baseline (wdoqsBase), dynamic tuning, probabilistic lexicon weights, opinion reranking

wdqfdt1mRd¶

Run ID: wdqfdt1mRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: b7ffc1d80d7ac538bcd38934b2eceb30
Run description: combined baseline (long query), dynamic tuning, manual lexicon weights, opinion reranking

wdqfdt1pRd¶

Run ID: wdqfdt1pRd
Participant: IU-SLIS
Track: Blog
Year: 2008
Submission: 7/3/2008
Type: automatic
Task: opinion
MD5: 947e6330acb3db257c61d9648fc27fd2
Run description: combined baseline (long query), dynamic tuning, probabilistic lexicon weights, opinion reranking

york08bb1¶

Run ID: york08bb1
Participant: york
Track: Blog
Year: 2008
Submission: 6/10/2008
Type: automatic
Task: baseline
MD5: 0c78f62763bf742157bea77ba4d33e3e
Run description: Extremely basic title only run, using BM25 weighting algorithm, and the okapi IR system.

york08bb2¶

Run ID: york08bb2
Participant: york
Track: Blog
Year: 2008
Submission: 6/19/2008
Type: automatic
Task: baseline
MD5: b8b9e01be6417b2cf8fce3451e29e94b
Run description: Extremely basic title only run, using BM25 weighting algorithm, and the okapi IR system. (Fixed version of york08bb1, which has bugs.)

york08bo1a¶

Run ID: york08bo1a
Participant: york
Track: Blog
Year: 2008
Submission: 7/1/2008
Type: automatic
Task: opinion
MD5: b7814e94c70f9e103c3d7db1344679d1
Run description: This is our most basic run, which simply re-ranks each term according to how many sentiment terms exist in each document, normalized over the size of the document being examined. Serves almost like a baseline run for the opinion retrieval portion.

york08bo3b¶

Run ID: york08bo3b
Participant: york
Track: Blog
Year: 2008
Submission: 7/1/2008
Type: automatic
Task: opinion
MD5: 7590b80bccbfca2f962df925a1f5edc1
Run description: This method incorporates our method B strategy which re-ranks documents only by sentiment weights, except incorporating the tf-idf formula for each document. The tf-idf formula is isolated to sentiment terms found in the document only. No target terms are considered in this run, as future runs (other methods) will incorporate target terms as well.