TY - GEN
T1 - Towards an event-based classification system for non-natural kind nouns
AU - Wang, Shan
AU - Huang, Chu-ren
PY - 2013/2/26
Y1 - 2013/2/26
N2 - 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.
AB - 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.
KW - an event-based classification system
KW - argument structure
KW - classifier
KW - event structure
KW - non-natural kind noun
UR - http://www.scopus.com/inward/record.url?scp=84874130781&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-36337-5_39
DO - 10.1007/978-3-642-36337-5_39
M3 - Conference article published in proceeding or book
SN - 9783642363368
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 381
EP - 395
BT - Chinese Lexical Semantics - 13th Workshop, CLSW 2012, Revised Selected Papers
T2 - 13th Chinese Lexical Semantics Workshop, CLSW 2012
Y2 - 6 July 2012 through 8 July 2012
ER -