Towards an event-based classification system for non-natural kind nouns

Shan Wang, Chu-ren Huang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Nouns are usually divided syntactically or semantically. These classifications, however, ignore the fact that some nouns can represent events. This behavior is similar to verbs. This study examines three types of nouns (nominals, pure event nouns and entity nouns) based on eventive parameters (classifiers, argument structure and event structure). It establishes an event-based noun classification system for non-natural kind nouns, which not only enriches the research on noun classifications, but also facilitates event detection in natural texts.
Original languageEnglish
Title of host publicationChinese Lexical Semantics - 13th Workshop, CLSW 2012, Revised Selected Papers
Pages381-395
Number of pages15
DOIs
Publication statusPublished - 26 Feb 2013
Event13th Chinese Lexical Semantics Workshop, CLSW 2012 - Wuhan, China
Duration: 6 Jul 20128 Jul 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7717 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Chinese Lexical Semantics Workshop, CLSW 2012
Country/TerritoryChina
CityWuhan
Period6/07/128/07/12

Keywords

  • an event-based classification system
  • argument structure
  • classifier
  • event structure
  • non-natural kind noun

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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