A step-wise usage-based method for inducing polysemy-aware verb classes

Daisuke Kawahara, Daniel W. Peterson, Martha Palmer

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

We present an unsupervised method for inducing verb classes from verb uses in gigaword corpora. Our method consists of two clustering steps: verb-specific semantic frames are first induced by clustering verb uses in a corpus and then verb classes are induced by clustering these frames. By taking this step-wise approach, we can not only generate verb classes based on a massive amount of verb uses in a scalable manner, but also deal with verb polysemy, which is bypassed by most of the previous studies on verb clustering. In our experiments, we acquire semantic frames and verb classes from two giga-word corpora, the larger comprising 20 billion words. The effectiveness of our approach is verified through quantitative evaluations based on polysemy-aware gold-standard data.

本文言語English
ホスト出版物のタイトルLong Papers
出版社Association for Computational Linguistics (ACL)
ページ1030-1040
ページ数11
ISBN(印刷版)9781937284725
出版ステータスPublished - 2014
外部発表はい
イベント52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Baltimore, MD, United States
継続期間: 2014 6 222014 6 27

出版物シリーズ

名前52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference
1

Conference

Conference52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014
CountryUnited States
CityBaltimore, MD
Period14/6/2214/6/27

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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