Experimentation as a way of life: Okapi at TREC
Information Processing and Management: an International Journal - The sixth text REtrieval conference (TREC-6)
Semantic similarity between search engine queries using temporal correlation
WWW '05 Proceedings of the 14th international conference on World Wide Web
Robust generic and query-based summarisation
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
HLT '01 Proceedings of the first international conference on Human language technology research
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We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world that users are interested in. Based on it, this paper describes a system, Zed, which automatically finds explanations for high velocity queries, by extracting descriptions of relevant and temporally-proximate events from the news stream. Zed can thus provide a meaningful explanation of what the general public is interested in at any time. We evaluated performance of several variant methods on top velocity “celebrity name” queries from Yahoo, using news stories from several sources for event extraction. Results bear out the event-causation hypothesis, in that Zed currently finds acceptable event-based explanations for about 90% of the queries examined.