Building a semantic lexicon of English nouns via bootstrapping

Ting Qian, Benjamin Van Durme, Lenhart Schubert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We describe the use of a weakly supervised bootstrapping algorithm in discovering contrasting semantic categories from a source lexicon with little training data. Our method primarily exploits the patterns in sentential contexts where different categories of words may appear. Experimental results are presented showing that such automatically categorized terms tend to agree with human judgements.

Original languageEnglish (US)
Title of host publicationNAACL-HLT 2009 - Human Language Technologies
Subtitle of host publication2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop and Doctoral Consortium
EditorsUlrich Germann, Chirag Shah, Svetlana Stoyanchev, Carolyn Penstein Rose, Anoop Sarkar
PublisherAssociation for Computational Linguistics (ACL)
Pages37-42
Number of pages6
ISBN (Electronic)9781932432428
StatePublished - 2009
Externally publishedYes
Event2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009 - Boulder, United States
Duration: Jun 1 2009 → …

Publication series

NameNAACL-HLT 2009 - Human Language Technologies: 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop and Doctoral Consortium

Conference

Conference2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2009
Country/TerritoryUnited States
CityBoulder
Period6/1/09 → …

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Linguistics and Language

Fingerprint

Dive into the research topics of 'Building a semantic lexicon of English nouns via bootstrapping'. Together they form a unique fingerprint.

Cite this