(Enter summary)
Abstract: This paper investigates the use and extension
of text retrieval and clustering techniques for event
detection. The task is to automatically detect novel
events from a temporally-ordered stream of news stories,
either retrospectively or as the stories arrive. We applied
hierarchical and non-hierarchical document clustering algorithms
to a corpus of 15,836 stories, focusing on the
exploitation of both content and temporal information.
We found the resulting cluster hierarchies highly informative... (Update)
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BibTeX entry: (Update)
Y. Yang, T. Pierce, and J. Carbonell, "A Study on Retrospective and On-Line Event Detection," Proceedings of ACM SIGIR, pp.28-36, 1998. http://citeseer.ist.psu.edu/yang98study.html More
@inproceedings{ yang98study,
author = "Yiming Yang and Tom Pierce and Jaime Carbonell",
title = "A study on retrospective and on-line event detection",
booktitle = "Proceedings of {SIGIR}-98, 21st {ACM} International Conference on Research and Development in Information Retrieval",
address = "Melbourne, AU",
pages = "28--36",
year = "1998",
url = "citeseer.ist.psu.edu/yang98study.html" }
Citations (may not include all citations):
432
Automatic Text Processing: The Transformation (context) - Salton - 1989
307
Information Retrieval
- van Rijsbergen - 1979 ACM DBLP
113
gather: a cluster-based approach to browsing large document .. (context) - Cutting, Karger et al. - 1992
67
Optimal algorithms for approximate clustering (context) - Feder, Greene - 1988 ACM DBLP
46
Recent trends in hierarchic document clustering: a critical .. (context) - Willett - 1988 ACM
27
Document filtering with inference networks
- Callan - 1996 ACM DBLP
25
Support for browsing in an intelligent text retrieval system (context) - Tohompson, Croft - 1989 ACM DBLP
10
Automated query-relevant summarization and diversitybased re.. (context) - Carbonell, Goldstein et al. - 1997
1
Implementing allgomerative hierarchic clustering algorithms .. (context) - Voorhees - 1986
1
Topic detection and tracking: Detection-task (context) - Yang, Carbonell et al. - 1997
The graph only includes citing articles where the year of publication is known.
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