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Detecting Events with Date and Place Information in Unstructured Text (2002)  (Make Corrections)  (2 citations)
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Abstract: Digital libraries of historical documents provide a wealth of information about past events, often in unstructured form.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...

Cited by:   More
Utilizing Temporal Information in Topic Detection And Tracking - Makkonen, Ahonen-Myka (2003)   (Correct)
Unknown - We Propose Two   (Correct)

Active bibliography (related documents):   More   All
1.8:   Detecting and Browsing Events in Unstructured Text - Smith (2002)   (Correct)
0.3:   Bootstrapping Toponym Classifiers - David Smith And (2003)   (Correct)
0.2:   Disambiguating Geographic Names in a Historical Digital Library - Smith, Crane (2001)   (Correct)

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0.7:   Integrating Harvesting into Digital Library Content - Smith, Mahoney, Crane (2002)   (Correct)
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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):
137   Accurate methods for the statistics of surprise and coincide.. - Dunning - 1993
127   Word association norms (context) - Church, Hanks - 1990
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
17   Automatic generation of overview timelines (context) - Swan, Allan - 2000
15   Multilingual topic detection and tracking: Successful resear.. (context) - Wayne - 2000
14   Extracting significant time varying features from text - Swan, Allan - 1999
11   Disambiguating geographic names in a historical digital libr.. - Smith, Crane - 2001
6   Topic-based browsing within a digital library using keyphras.. - Jones, Paynter - 1999
5   Building a hypertextual digital library in the humanities: A.. - Crane, Smith et al. - 2001
4   Multimodal information systems and GIS: The Informedia digit.. (context) - Olligschlaeger, Hauptmann - 1999
3   An architecture for automatic reference linking - Bergmark, Lagoze - 2001
2   Mining dates from historical documents - McKay, Cunningham - 2000
2   An evaluation corpus for temporal summarization - Khandelwal, Gupta et al. - 2001

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London Calling: GIS, VR, and the Victorian Period - Chavez, Milbank (2001)   (Correct)
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Building a Hypertextual Digital Library in the Humanities: .. - Crane, Wulfman, Smith (1998)   (Correct)

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