Migrating Psycholinguistic Semantic Feature Norms into Linked Data in Linguistics

Yoshihiko Hayashi*

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Pages70-75
Number of pages6
Publication statusPublished - 2013
Externally publishedYes
Event2nd Workshop on Linked Data in Linguistics: Representing and Linking Lexicons, Terminologies and other Language Data, LDL 2013 - Pisa, Italy
Duration: 2013 Sep 23 → …

Conference

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

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science Applications
  • Linguistics and Language

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