Framework of semantic role assignment based on extended lexical conceptual structure: Comparison with VerbNet and FrameNet

Yuichiroh Matsubayashi, Yusuke Miyao, Akiko Aizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Widely accepted resources for semantic parsing, such as PropBank and FrameNet, are not perfect as a semantic role labeling framework. Their semantic roles are not strictly defined; therefore, their meanings and semantic characteristics are unclear. In addition, it is presupposed that a single semantic role is assigned to each syntactic argument. This is not necessarily true when we consider internal structures of verb semantics. We propose a new framework for semantic role annotation which solves these problems by extending the theory of lexical conceptual structure (LCS). By comparing our framework with that of existing resources, including VerbNet and FrameNet, we demonstrate that our extended LCS framework can give a formal definition of semantic role labels, and that multiple roles of arguments can be represented strictly and naturally.

Original languageEnglish
Title of host publicationEACL 2012 - 13th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages686-695
Number of pages10
ISBN (Electronic)9781937284190
Publication statusPublished - 2012
Externally publishedYes
Event13th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2012 - Avignon, France
Duration: 2012 Apr 232012 Apr 27

Publication series

NameEACL 2012 - 13th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings

Other

Other13th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2012
Country/TerritoryFrance
CityAvignon
Period12/4/2312/4/27

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

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