Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24118
Title: Towards an event-based classification system for non-natural kind nouns
Authors: Wang, S
Huang, CR 
Keywords: An event-based classification system
Argument structure
Classifier
Event structure
Non-natural kind noun
Issue Date: 2013
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2013, v. 7717 LNAI, p. 381-395 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
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.
Description: 13th Chinese Lexical Semantics Workshop, CLSW 2012, Wuhan, 6-8 July 2012
URI: http://hdl.handle.net/10397/24118
ISBN: 9783642363368
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-36337-5_39
Appears in Collections:Conference Paper

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