Paper: Novelty Detection: The TREC Experience

ACL ID H05-1014
Title Novelty Detection: The TREC Experience
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005

A challenge for search systems is to de- tect not only when an item is relevant to the user’s information need, but also when it contains something new which the user has not seen before. In the TREC novelty track, the task was to highlight sentences containing relevant and new information in a short, topical document stream. This is analogous to highlighting key parts of a document for another person to read, and this kind of output can be useful as input to a summarization system. Search topics in- volved both news events and reported opin- ions on hot-button subjects. When peo- ple performed this task, they tended to se- lect small blocks of consecutive sentences, whereas current systems identified many relevant and novel passages. We also found that opinions are much harder to track ...