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Word sense distribution in a Web corpus

  • Ping Chen
  • , David Brown
  • , Andrew Tran
  • , Noble Ozoka
  • , Rafael Ortiz
  • University of Houston-Downtown

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

World Wide Web has become an important knowledge source for many research fields, and quality of Web-acquired knowledge has direct impact on their performance. While evaluation of the vast amount of Web resources is out of question, in this paper we examined thousands of sentences containing twelve preselected words and produced several quality measures including sentence coherence and sense distribution information. Our goal is to provide some insight to several Computational Linguistics areas that acquire knowledge from the Web.

Original languageEnglish
Title of host publicationProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Pages449-453
Number of pages5
DOIs
StatePublished - 2010
Event9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing, China
Duration: Jul 7 2010 → Jul 9 2010

Publication series

NameProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010

Conference

Conference9th IEEE International Conference on Cognitive Informatics, ICCI 2010
Country/TerritoryChina
CityBeijing
Period7/7/10 → 7/9/10

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Information Systems

Keywords

  • Computational Linguistics
  • Sense annotation
  • Web corpus acquisition and quality analysis
  • Word sense distribution

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