Toward the automatic extraction of knowledge of usable goods

Mei Uemura, Naho Orita, Naoaki Okazaki, Kentaro Inui

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Knowledge of usable goods (e.g., toothbrush is used to clean the teeth and treadmill is used for exercise) is ubiquitous and in constant demand. This study proposes semantic labels to capture aspects of knowledge of usable goods and builds a benchmark corpus, Usable Goods Corpus, to explore this new semantic labeling task. Our human annotation experiment shows that human annotators can generally identify pieces of information of usable goods in text. Our first attempt toward the automatic identification of such knowledge shows that a model using conditional random fields approaches the human annotation (F score 73.2%). These results together suggest future directions to build a large-scale corpus and improve the automatic identification of knowledge of usable goods.

本文言語English
ホスト出版物のタイトルProceedings of the 30th Pacific Asia Conference on Language, Information and Computation, PACLIC 2016
編集者Jong C. Park, Jin-Woo Chung
出版社Institute for the Study of Language and Information
ページ277-285
ページ数9
ISBN(電子版)9788968174285
出版ステータスPublished - 2016
外部発表はい
イベント30th Pacific Asia Conference on Language, Information and Computation, PACLIC 2016 - Seoul, Korea, Republic of
継続期間: 2016 10 282016 10 30

出版物シリーズ

名前Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation, PACLIC 2016

Other

Other30th Pacific Asia Conference on Language, Information and Computation, PACLIC 2016
国/地域Korea, Republic of
CitySeoul
Period16/10/2816/10/30

ASJC Scopus subject areas

  • 言語および言語学
  • コンピュータ サイエンス(その他)
  • 情報システム

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