Runs - Microblog 2013¶

Avgrank¶

Run ID: Avgrank
Participant: Foreseer
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: manual
Task: adhoc
MD5: f9f2b4a249d3852299770f893e7b55bb
Run description: Active learning. Ranked by combination of SVM and Dirichlet model.

BAUENGFLT¶

Results | Participants | Input | Summary | Appendix

Run ID: BAUENGFLT
Participant: BAU
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 3ae5f5a499542ed3e22c58a4db53d64f
Run description: in this run did not used external resources

BAUENGPGRNK¶

Results | Participants | Input | Summary | Appendix

Run ID: BAUENGPGRNK
Participant: BAU
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 144b693b575f60a641a6d2e18bc3be41
Run description: in this run did not used external resources

BAUENGSTAT¶

Results | Participants | Input | Summary | Appendix

Run ID: BAUENGSTAT
Participant: BAU
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 1eb1f56625947714efa56a9889e595bd
Run description: in this run did not used external resources

BAUENPRKST¶

Results | Participants | Input | Summary | Appendix

Run ID: BAUENPRKST
Participant: BAU
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 3ffd2363216139b74d9b9d199a31adfc
Run description: in this run did not used external resources

BJUTCnor¶

Run ID: BJUTCnor
Participant: BJUT
Track: Microblog
Year: 2013
Submission: 8/12/2013
Type: automatic
Task: adhoc
MD5: b555ed468c2f57c5ffe968bf4a334682
Run description: run3

BJUTEntr¶

Run ID: BJUTEntr
Participant: BJUT
Track: Microblog
Year: 2013
Submission: 8/12/2013
Type: automatic
Task: adhoc
MD5: b33cd4e3cb48f80bf20eff7caf0d0cd0
Run description: run2

BJUTFreq¶

Run ID: BJUTFreq
Participant: BJUT
Track: Microblog
Year: 2013
Submission: 8/12/2013
Type: automatic
Task: adhoc
MD5: 48c44b76748563a15e6e7209c4fca082
Run description: run1

BNTSrK¶

Run ID: BNTSrK
Participant: IRIT
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 2235d94bd74c349450ff628b7eda03ec
Run description: Bayesian network model for tweet search, topical feature-only

BNTSrKSO¶

Run ID: BNTSrKSO
Participant: IRIT
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 888003d4700d1286b9c8495c1fa4bcc5
Run description: Bayesian network model for tweet search, topical feature, social feature, temporal feature

CIRGIRDISCO2¶

Run ID: CIRGIRDISCO2
Participant: CIRG_IRDISCO
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 90ebea3da619f379565134e7641374b8
Run description: This run uses Wikipedia information for query term expansion by understanding peoples' names specially and rest of information generally.

CIRGIRDISCO3¶

Run ID: CIRGIRDISCO3
Participant: CIRG_IRDISCO
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: d03542a72075111d517169c1b30b579b
Run description: This run uses Wikipedia for query term expansion without distinguishing between entity (i.e. peoples' names) and general information.

CIRGIRDISCO4¶

Run ID: CIRGIRDISCO4
Participant: CIRG_IRDISCO
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 3ac12fe452496635397ad4968145c096
Run description: This run utilizes strategy of biased PageRank through text information where node is term and edge is cooccurence relationship between terms.

DFRBase¶

Run ID: DFRBase
Participant: UoG_TwTeam
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 8717a055076b3e866cbc47d053faa856
Run description: This is our DFR baseline

Direrank¶

Run ID: Direrank
Participant: Foreseer
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: manual
Task: adhoc
MD5: e2aab98e4d2a2d90d2b08eae8ab1c9f7
Run description: Active learning. Ranked by Dirichlet model.

FSsvm¶

Run ID: FSsvm
Participant: Foreseer
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: manual
Task: adhoc
MD5: b31167dcb6e6166458d2102e5cec3430
Run description: Active learning. Ranked by SVM.

GSAA¶

Run ID: GSAA
Participant: ISIKol
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 8ae64be2788f7c87f04ac75b3aa5721a
Run description: Title and snippet of Google Search API used for query expansion.

GSAS¶

Run ID: GSAS
Participant: ISIKol
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 8a2baa245dff22b85269fe8cdd525598
Run description: Snippet of Google Search API used for query expansion.

GSAT¶

Run ID: GSAT
Participant: ISIKol
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: bd983a4c12d2153bf31c72e6caa0f40b
Run description: Title of Google Search API used for query expansion.

ICTNETBASE¶

Run ID: ICTNETBASE
Participant: ICTNET
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 011f2158271df655a5eb83d9c7f4e36e
Run description: we simply apply the Bo1 method to expand the queries, and the expanded queries are submitted, and retrieved tweets and their scores are included in this run.

ICTNETBO1EXP¶

Run ID: ICTNETBO1EXP
Participant: ICTNET
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: df53ffffa779faf9ba1d9afac94665b5
Run description: We applied the SVM Rank framework as we did in last year, and a new query expansion method - Bo1, is utilized. A bunch of features are calculated according to the original query and expansion respectively.

ICTNETCOCCUR¶

Run ID: ICTNETCOCCUR
Participant: ICTNET
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 96858e5368e4914532eddcf245e1ca45
Run description: The same method is used as ICTNETBO1EXP, except that word co-occurrence is taken into account while expanding the queries.

ILPSdf¶

Results | Participants | Input | Summary | Appendix

Run ID: ILPSdf
Participant: UvAILPS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: faab13f520f1e7f59dfb40ab601101ce
Run description: We use a data fusion method for merging ranked lists returned from several retrieval models.

ILPSl2rB¶

Results | Participants | Input | Summary | Appendix

Run ID: ILPSl2rB
Participant: UvAILPS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 23aec1a93d9873151d0e91fcd12ec142
Run description: Baseline run: learning to rank on 15 features extracted from results from API.

ILPSl2rE¶

Results | Participants | Input | Summary | Appendix

Run ID: ILPSl2rE
Participant: UvAILPS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: c2b6fd8de708eb6f6835e719877ae7b5
Run description: Identify concepts in queries using Wikipedia, expand query based on results of the concept query on API. Perform learning to rank on results of expanded query.

ILPSub¶

Results | Participants | Input | Summary | Appendix

Run ID: ILPSub
Participant: UvAILPS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: e661658bb66b58fed03760fa15e15a4c
Run description: Concepts in query identified using Wikipedia. Query expansion on results of concept query. RSV is doubled if tweet has a URL.

iritfdUrl¶

Run ID: iritfdUrl
Participant: IRIT
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: d26c09db969740729eefaa35a2d23885
Run description: Vector space model+ Url content+ spell checker

iritfdUrlRoc¶

Run ID: iritfdUrlRoc
Participant: IRIT
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 091b5e918fe5dc67165b11930aed1ce2
Run description: Vector space model + Rochhio query expansion+ Url content+ spell checker

kobeRMU¶

Run ID: kobeRMU
Participant: KobeU
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 7696b8910df21a572531ca11bd11c852
Run description: Query likelihood model + word tracking (pseudo-relevance feedback) + URL filtering We filtered out retweets and non-english tweets with a language detection tool called ldig. For word counting, we used external tweets sampled between February 1st and March 31st, 2013.

kobeTSFRM¶

Run ID: kobeTSFRM
Participant: KobeU
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: manual
Task: adhoc
MD5: 6a39fb9f3fd9426533c4736076cd1e4d
Run description: Query likelihood model + tweet selection feedback (relevance feedback) + concept tracking (pseudo-relevance feedback). We filtered out retweets and non-english tweets with a language detection tool called ldig. For concept counting, we used external tweets sampled between February 1st and March 31st, 2013.

kobeTSFRMU¶

Run ID: kobeTSFRMU
Participant: KobeU
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 035be9a720c0cd1853c919d557116339
Run description: Query likelihood model + tweet selection feedback (relevance feedback) + concept tracking (pseudo-relevance feedback) + URL filtering. We filtered out retweets and non-english tweets with a language detection tool called ldig. For concept counting, we used external tweets sampled between February 1st and March 31st, 2013.

kobeU¶

Run ID: kobeU
Participant: KobeU
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 3948256aff96bc97ebcfc9da6708a8d4
Run description: Query language model (default) + URL filtering.

ModelSEL922¶

Run ID: ModelSEL922
Participant: UoG_TwTeam
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: cf2922f1a2362b78d8315ffcabb11c1d
Run description: Model selection approach. We select an optimal retrieval model, based on pre-retrieval features

NOVAsearch00¶

Run ID: NOVAsearch00
Participant: NOVASEARCH
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 56794c7d892389aebb57997d8e12de70
Run description: This run performs duplicates, retweet and language filtering.

NOVAsearch01¶

Run ID: NOVAsearch01
Participant: NOVASEARCH
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 8d65a973b60586fa7ba0f230343a4d5f
Run description: Using temporal reranking with respect to the time of the query.

NOVAsearch02¶

Run ID: NOVAsearch02
Participant: NOVASEARCH
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: b93fd56d9657b3503f392edc2cf4e22e
Run description: Temporal reranking using Wikipedia pageview statistics for the top page resulting from the search of the query on Wikipedia

NOVAsearch03¶

Run ID: NOVAsearch03
Participant: NOVASEARCH
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: e7237b7fb585134b816419b90106cbdd
Run description: Makes use of a crawl of documents linked from tweets done in 2013-08-14. Only the titles are used.

PKUICST1¶

Run ID: PKUICST1
Participant: PKUICST
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 3b0e914a2880560b7ca38192071fd7ff
Run description: Using a local corpus of tweets collected via the official Twitter streaming API over a two-month period 1 February, 2013 - 31 March. Those resources are timely with respect to the queries Using Ranking SVM with different semantic features to train a model. Features are Language Model and BM25 scores on different indexes (Origin and DocEx corpus). Training on 59 queries and their related official labeled tweets released by TREC2012.

PKUICST2¶

Run ID: PKUICST2
Participant: PKUICST
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: b2fd3fdd6223f66bfe2099bdd61e0cf6
Run description: Using a local corpus of tweets collected via the official Twitter streaming API over a two-month period 1 February, 2013 - 31 March. Those resources are timely with respect to the queries Using BM25 Model, Query Expanded with the highest score tweet. Run on DocEx Corpus (Origin Corpus + Link Info Corpus).

PKUICST3¶

Run ID: PKUICST3
Participant: PKUICST
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 784cfa27f2a828d0d96a7a908c8c5b4f
Run description: Using a local corpus of tweets collected via the official Twitter streaming API over a two-month period 1 February, 2013 - 31 March. Those resources are timely with respect to the queries Using Language Model, Query Expanded with the highest score tweet. Run on DocEx Corpus (Origin Corpus + Link Info Corpus).

PKUICST4¶

Run ID: PKUICST4
Participant: PKUICST
Track: Microblog
Year: 2013
Submission: 8/13/2013
Type: automatic
Task: adhoc
MD5: 60e3b4f6125f3dc89bd0c777f27aa7b4
Run description: An internal run relies strictly on data obtained from the API. Using Language Model and Query Expanded with the highest score tweet from baseline language model. Results are filtered based on some simple rules.

PrisRun1¶

Run ID: PrisRun1
Participant: PRIS
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 3cac9e45dab154ced788363018b0c31e
Run description: Only use API result,without any other external resources.

PrisRun2¶

Run ID: PrisRun2
Participant: PRIS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 0ad0fe4124e0c3b41a107837d7dc18c7
Run description: using API and url information

PrisRun3¶

Run ID: PrisRun3
Participant: PRIS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: manual
Task: adhoc
MD5: 52b3c6b8c4e272808524d18fb7e9853f
Run description: use expansion words and URL!

PrisRun4¶

Run ID: PrisRun4
Participant: PRIS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 4ea8dceb4bca8153c5785be0a56b87d4
Run description: use external URL information!

QCRI1¶

Run ID: QCRI1
Participant: QCRI
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: dc23ccffd5a94f6844cd06f32f0e2348
Run description: single learning to rank model

QCRI2¶

Run ID: QCRI2
Participant: QCRI
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 50540c34bbf8e0de8afcc54b41df001e
Run description: single learning to rank model tuned with selected validated dataset.

QCRI3¶

Run ID: QCRI3
Participant: QCRI
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 72f8e54ca134836424c865a4d3b57d2c
Run description: Ensemble 12 learning to rank model

QCRI4¶

Run ID: QCRI4
Participant: QCRI
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 396093a1807a5ca5abbf21733679a8a9
Run description: Ensemble 12 learning to rank model incorporating external information. Use google for query expansion.

QEClustIDF¶

Run ID: QEClustIDF
Participant: UoG_TwTeam
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: be1dc9b77283103ed9b5b6afb0f4223c
Run description: We performed clustering over the collection, previous to retrieval. Those clusters were used in a separate index, as evidence to extract expansion terms. We take care to use information previous to the query time. Terms in clusters are then ranked by a discounted IDF function.

QEDiscIDF25Good¶

Run ID: QEDiscIDF25Good
Participant: UoG_TwTeam
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 003d7f3a4d23e4a28f15e8eb0d1047d4
Run description: Model selection approach, with discounted IDF scoring of PRF terms

QUBaseline¶

Run ID: QUBaseline
Participant: QU
Track: Microblog
Year: 2013
Submission: 8/8/2013
Type: automatic
Task: adhoc
MD5: 7b4d5e5262800e641933413cbe932af5
Run description: The run utilizes query expansion to expand each topic and provide search results based on the expanded topic. This is achieved by submitting the original query to the search client and then use the retrieved results to expand the query. In addition, retweets removal is applied to eliminate retweets from the results.

QUDocExp¶

Run ID: QUDocExp
Participant: QU
Track: Microblog
Year: 2013
Submission: 8/8/2013
Type: automatic
Task: adhoc
MD5: 59e0d354239312b23e1327b2784e0c19
Run description: The run utilizes document expansion to expand each document in the results list of a query and rescore results. The expansion considers the lexical and temporal aspects of a tweet. In addition, retweets removal is applied to eliminate retweets from the results. As for the external resources, a third party language detection tool is used to eliminate non-English tweets. The tool is timely with respect to the queries.

QUQueryExp¶

Run ID: QUQueryExp
Participant: QU
Track: Microblog
Year: 2013
Submission: 8/8/2013
Type: automatic
Task: adhoc
MD5: 1e786c614de86b98bbe0de2ed8a6a94e
Run description: The run utilizes query expansion to expand each topic and provide search results based on the expanded topic. This is achieved by submitting the original query to the search client and then use the retrieved results to expand the query. In addition, retweets removal is applied to eliminate retweets from the results. As for the external resources, a third party language detection tool is used to eliminate non-English tweets. The tool is timely with respect to the queries.

QUTemporal¶

Run ID: QUTemporal
Participant: QU
Track: Microblog
Year: 2013
Submission: 8/8/2013
Type: automatic
Task: adhoc
MD5: e54141509be5047db67788a472691f70
Run description: For each query, the results retrieved through the search API are rescored based on their tweet time in relation with the the query tweet time. In addition, retweets removal is applied to eliminate retweets from the results. As for the external resources, a third party language detection tool is used to eliminate non-English tweets. The tool is timely with respect to the queries.

RvsDir¶

Run ID: RvsDir
Participant: Foreseer
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: manual
Task: adhoc
MD5: f2f5e774b71539bedff10924c051e5c0
Run description: Active learning. Ranked by combination of SVM and reversed Dirichlet model.

scunce1¶

Results | Participants | Input | Summary | Appendix

Run ID: scunce1
Participant: scunce
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: a6cf9c798ff85c5deb59c268a879cbe6
Run description: feature1: weighted words for query expansion and get each tweets value. feature2: KL value from original query and tweets feature3: KL value from expanded query(top 15 tweets) and tweets

scunce2¶

Results | Participants | Input | Summary | Appendix

Run ID: scunce2
Participant: scunce
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: 5defb5b47e354fbc4e26daffa88bd610
Run description: feature1: weighted words for query expansion and get each tweets value. feature2: KL value from original query and tweets feature3: KL value from expanded query(top 15 tweets) and tweets use 2011 and 2012 topics for train

scunce3¶

Results | Participants | Input | Summary | Appendix

Run ID: scunce3
Participant: scunce
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: d6d48cc6727152e6dfe1128811cd648a
Run description: feature1: weighted words for query expansion and get each tweets value. feature2: KL value from original query and tweets feature3: KL value from expanded query(top 15 tweets) and tweets feature4: weighted words for query expansion using google search(top30) and get each tweets value. feature5: KL value from expanded query(top20 google search title) and tweets use 2011 topics for train

scunce4¶

Results | Participants | Input | Summary | Appendix

Run ID: scunce4
Participant: scunce
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: c620e70083ddf6533588012a4eaf0c99
Run description: feature1: weighted words for query expansion and get each tweets value. feature2: KL value from original query and tweets feature3: KL value from expanded query(top 15 tweets) and tweets feature4: weighted words for query expansion using google search(top30) and get each tweets value. feature5: KL value from expanded query(top20 google search title) and tweets use 2011 and 2012 topics for train

stan1kl¶

Results | Participants | Input | Summary | Appendix

Run ID: stan1kl
Participant: scwhu
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 1c247ad0f01cf9ee19f2a9bf9672e0c2
Run description: Use pseudo feedback to do query expand(top7) and KL-divergence to rank.

stan2kl¶

Results | Participants | Input | Summary | Appendix

Run ID: stan2kl
Participant: scwhu
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 00512d87119f1d3cf77ba130621398c7
Run description: Use pseudo feedback to do query expand(top7).

stan3kl¶

Results | Participants | Input | Summary | Appendix

Run ID: stan3kl
Participant: scwhu
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 5b8a91472de37685e4d8a746543adcd1
Run description: Use pseudo feedback to do query expand(top10) and KL-divergence to rank.

stan4col¶

Results | Participants | Input | Summary | Appendix

Run ID: stan4col
Participant: scwhu
Track: Microblog
Year: 2013
Submission: 8/15/2013
Type: automatic
Task: adhoc
MD5: 93f4085e5285bb6799bf40019ac4365a
Run description: Use pseudo feedback and word collocation to do query expand.

UCASgem¶

Run ID: UCASgem
Participant: UCAS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 7a558df543395a4a2878d2845a8b980d
Run description: Noting specifical

UCASqe¶

Run ID: UCASqe
Participant: UCAS
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: c035bade7a98da59687c730f13b222c6
Run description: Noting specifical resources

UDInfoMB¶

Run ID: UDInfoMB
Participant: udel_fang
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: b52dc381e774c94e5ad894a3a41de01c
Run description: Initial retrieval from the API used query suggestion from Yahoo! Used lang_id.py as the language identification tool.

UDInfoMINT¶

Run ID: UDInfoMINT
Participant: udel_fang
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: 9af9e5dec2a1e303031256615eed8b5c
Run description: Used only internal information. Index is built based on initial run with original query and per query term.

UDInfoMTB1¶

Run ID: UDInfoMTB1
Participant: udel_fang
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: 808a4ef220392e1349e2cbd3b2291dd9
Run description: Initial retrieval from the API used query suggestion from Yahoo! Used lang_id.py as the language identification tool.

UDInfoMTB2¶

Run ID: UDInfoMTB2
Participant: udel_fang
Track: Microblog
Year: 2013
Submission: 8/14/2013
Type: automatic
Task: adhoc
MD5: 97506f9bf0a3cf4538c05807c110b6c3
Run description: Initial retrieval from the API used query suggestion from Yahoo! Used lang_id.py as the language identification tool.

WISSySeCo¶

Results | Participants | Input | Summary | Appendix

Run ID: WISSySeCo
Participant: wistud
Track: Microblog
Year: 2013
Submission: 8/16/2013
Type: automatic
Task: adhoc
MD5: 33461b19c26d2062637a7cc13986037a
Run description: Used NER tools to identify the semantics in the tweets