| Alternate document: Details Detecting and Browsing Events in Unstructured Text (02) David A. Smith |
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Abstract: Digital libraries of historical documents provide a wealth of
information about past events, often in unstructured form.
Once dates and place names are identified and disambiguated,
using methods that can di#er by genre, we examine collocations
to detect events. Collocations can be ranked by several
measures, which vary in e#ectiveness according to type
of events, but the log-likelihood measure (-2 log #) o#ers
a reasonable balance between frequently and infrequently
mentioned events and... (Update)
Context of citations to this paper: More
.... for the automatic generation of hypertext links [8] and for visualizations such as automatically generated dynamic maps and timelines [30, 31]. Such link generation complements the current practice of automatic identification and aggregation of citations. This proposal sets out...
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Unknown - We Propose Two
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0.3: Bootstrapping Toponym Classifiers - David Smith And (2003)
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0.2: Disambiguating Geographic Names in a Historical Digital Library - Smith, Crane (2001)
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BibTeX entry: (Update)
David A. Smith. Detecting events with date and place information in unstructured text. In Proceedings of the 2nd ACM+IEEE Joint Conference on Digital Libraries, pages 191--196, Portland, OR, July 2002. http://citeseer.ist.psu.edu/smith02detecting.html More
@misc{ smith02detecting,
author = "D. Smith",
title = "Detecting events with date and place information in unstructured text",
text = "David A. Smith. Detecting events with date and place information in unstructured
text. In Proceedings of the 2nd ACM+IEEE Joint Conference on Digital Libraries,
pages 191--196, Portland, OR, July 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/smith02detecting.html" }
Citations (may not include all citations):
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