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Abstract: Previews and overviews of large, heterogeneous information resources help users comprehend the scope of collections and focus on particular subsets of interest. For narrative documents, questions of "what happened? where? and when?" are natural points of entry. Building on our earlier work at the Perseus Project with detecting terms, place names, and dates, we have exploited co-occurrences of dates and place names to detect and describe likely events in document collections. We compare... (Update)
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BibTeX entry: (Update)
David A. Smith. 2002. Detecting and browsing events in unstructured text. In Proceedings of the 25th Annual ACM SIGIR Conference, pages 73-- 80, Tampere, Finland, August. http://citeseer.ist.psu.edu/article/smith02detecting.html More
@misc{ smith02detecting,
author = "D. Smith",
title = "Detecting and browsing events in unstructured text",
text = "David A. Smith. 2002. Detecting and browsing events in unstructured text.
In Proceedings of the 25th Annual ACM SIGIR Conference, pages 73-- 80, Tampere,
Finland, August.",
year = "2002",
url = "citeseer.ist.psu.edu/article/smith02detecting.html" }
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39 Fast and intuitive clustering of web documents - Zamir, Etzioni et al. - 1997
38 A study on retrospective and on-line event detection - Yang, Pierce et al. - 1998
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