Migrating Psycholinguistic Semantic Feature Norms into Linked Data in Linguistics

Yoshihiko Hayashi*

*この研究の対応する著者

研究成果: Paper査読

抄録

Semantic feature norms, originally utilized in the field of psycholinguistics as a tool for studying human semantic representation and computation, have recently attracted the attention of some NLP/IR researchers who wish to improve their task performances. However, currently available semantic feature norms are, by nature, not well-structured, making them difficult to integrate into existing resources of various kinds. In this paper, by examining an actual set of semantic feature norms, we investigate which types of semantic features should be migrated into Linked Data in Linguistics (LDL) and how the migration could be done.

本文言語English
ページ70-75
ページ数6
出版ステータスPublished - 2013
外部発表はい
イベント2nd Workshop on Linked Data in Linguistics: Representing and Linking Lexicons, Terminologies and other Language Data, LDL 2013 - Pisa, Italy
継続期間: 2013 9月 23 → …

Conference

Conference2nd Workshop on Linked Data in Linguistics: Representing and Linking Lexicons, Terminologies and other Language Data, LDL 2013
国/地域Italy
CityPisa
Period13/9/23 → …

ASJC Scopus subject areas

  • 言語および言語学
  • コンピュータ サイエンスの応用
  • 言語学および言語

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