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Detecting and Browsing Events in Unstructured text
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Tampere, Finland
SESSION: User Studies table of contents
Pages: 73 - 80  
Year of Publication: 2002
ISBN:1-58113-561-0
Author
David A. Smith  Tufts University, Medford, MA
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 75,   Citation Count: 10
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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 statistical measures for determining the relative significance of various events. We have built interfaces that help users preview likely regions of interest for a given range of space and time by plotting the distribution and relevance of various collocations. Users can also control the amount of collocation information in each view. Once particular collocations are selected, the system can identify key phrases associated with each possible event to organize browsing of the documents themselves.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Frederick H. Dyer. A Compendium of the War of the Rebellion. Thomas Yoseloff, New York, repr. of 1908 edition, 1959.
 
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Dana McKay and Sally Jo Cunningham. Mining dates from historical documents. Technical report, Department of Computer Science, University of Waikato, 2000.
 
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Charles L. Wayne. Multilingual topic detection and tracking: Successful research enabled by corpora and evaluation. In LREC 2000: 2nd International Conference on Language Resources and Evaluation, Athens, Greece, June 2000.
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Oren Zamir, Oren Etzioni, Omid Madani, and Richard M. Karp. Fast and intuitive clustering of web documents. In Proceedings of the 3rd ACM SIGKDD Conference, 1997.

CITED BY  10