Single classifier approach for verb sense disambiguation based on generalized features

Daisuke Kawahara, Martha Palmer

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

We present a supervised method for verb sense disambiguation based on VerbNet. Most previous supervised approaches to verb sense disambiguation create a classifier for each verb that reaches a frequency threshold. These methods, however, have a significant practical problem that they cannot be applied to rare or unseen verbs. In order to overcome this problem, we create a single classifier to be applied to rare or unseen verbs in a new text. This single classifier also exploits generalized semantic features of a verb and its modifiers in order to better deal with rare or unseen verbs. Our experimental results show that the proposed method achieves equivalent performance to per-verb classifiers, which cannot be applied to unseen verbs. Our classifier could be utilized to improve the classifications in lexical resources of verbs, such as VerbNet, in a semi-automatic manner and to possibly extend the coverage of these resources to new verbs.

本文言語English
ホスト出版物のタイトルProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
編集者Nicoletta Calzolari, Khalid Choukri, Sara Goggi, Thierry Declerck, Joseph Mariani, Bente Maegaard, Asuncion Moreno, Jan Odijk, Helene Mazo, Stelios Piperidis, Hrafn Loftsson
出版社European Language Resources Association (ELRA)
ページ4210-4213
ページ数4
ISBN(電子版)9782951740884
出版ステータスPublished - 2014
外部発表はい
イベント9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
継続期間: 2014 5 262014 5 31

出版物シリーズ

名前Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014

Other

Other9th International Conference on Language Resources and Evaluation, LREC 2014
国/地域Iceland
CityReykjavik
Period14/5/2614/5/31

ASJC Scopus subject areas

  • 言語学および言語
  • 図書館情報学
  • 教育
  • 言語および言語学

フィンガープリント

「Single classifier approach for verb sense disambiguation based on generalized features」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル