PP-attachment disambiguation boosted by a gigantic volume of unambiguous examples

Daisuke Kawahara*, Sadao Kurohashi

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. The unambiguous examples are utilized to acquire precise lexical preferences for PP-attachment disambiguation. Attachment decisions are made by a machine learning method that optimizes the use of the lexical preferences. Our experiments indicate that the precise lexical preferences work effectively.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ188-198
ページ数11
DOI
出版ステータスPublished - 2005
外部発表はい
イベント2nd International Joint Conference on Natural Language Processing, IJCNLP 2005 - Jeju Island, Korea, Republic of
継続期間: 2005 10月 112005 10月 13

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3651 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference2nd International Joint Conference on Natural Language Processing, IJCNLP 2005
国/地域Korea, Republic of
CityJeju Island
Period05/10/1105/10/13

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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