Overview - Temporal Summarization 2013

Proceedings | Data | Runs | Participants

Unexpected news events such as earthquakes or natural disasters represent a unique information access problem where traditional approaches fail. For example, immediately after an event, the corpus may be sparsely populated with relevant content. Even when, after a few hours, relevant content is available, it is often inaccurate or highly redundant. At the same time, crisis events demonstrate a scenario where users urgently need information, especially if they are directly affected by the event. The goal of this track is to develop systems for efficiently monitoring the information associated with an event over time. Specifically, we are interested in developing systems which (1) can broadcast short, relevant, and reliable sentence-length updates about a developing event and (2) can track the value of important event-related attributes (e.g. number of fatalities).

Track coordinator(s):

• Javed Aslam, Northeastern University
• Matthew Ekstrand-Abueg, Northeastern University
• Virgil Pavlu, Northeastern University
• Fernando Diaz, Microsoft Research
• Tetsuya Sakai, Waseda University

Tasks:

• sus: Sequential Update Summarization
• vt: Value Tracking

Track Web Page: https://web.archive.org/web/20170618023232/http://www.trec-ts.org/

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