Dependency Parsing with Short Dependency Relations in Unlabeled Data

Wenliang Chen, Daisuke Kawahara, Kiyotaka Uchimoto, Yujie Zhang, Hitoshi Isahara

研究成果: Conference contribution

19 被引用数 (Scopus)

抄録

This paper presents an effective dependency parsing approach of incorporating short dependency information from unlabeled data. The unlabeled data is automatically parsed by a deterministic dependency parser, which can provide relatively high performance for short dependencies between words. We then train another parser which uses the information on short dependency relations extracted from the output of the first parser. Our proposed approach achieves an unlabeled attachment score of 86.52, an absolute 1.24% improvement over the baseline system on the data set of Chinese Treebank.

本文言語English
ホスト出版物のタイトルIJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference
出版社Association for Computational Linguistics (ACL)
ページ88-94
ページ数7
ISBN(電子版)9780000000002
出版ステータスPublished - 2008
外部発表はい
イベント3rd International Joint Conference on Natural Language Processing, IJCNLP 2008 - Hyderabad, India
継続期間: 2008 1月 72008 1月 12

出版物シリーズ

名前IJCNLP 2008 - 3rd International Joint Conference on Natural Language Processing, Proceedings of the Conference
1

Conference

Conference3rd International Joint Conference on Natural Language Processing, IJCNLP 2008
国/地域India
CityHyderabad
Period08/1/708/1/12

ASJC Scopus subject areas

  • 言語および言語学
  • 言語学および言語

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