TY - GEN
T1 - Verb pattern
T2 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
AU - Cui, Wanyun
AU - Zhou, Xiyou
AU - Lin, Hangyu
AU - Xiao, Yanghua
AU - Wang, Haixun
AU - Hwang, Seung Won
AU - Wang, Wei
N1 - Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Verbs are important in semantic understanding of natural language. Traditional verb representations, such as FrameNet, PropBank, VerbNet, focus on verbs' roles. These roles are too coarse to represent verbs' semantics. In this paper, we introduce verb patterns to represent verbs' semantics, such that each pattern corresponds to a single semantic of the verb. First we analyze the principles for verb patterns: generality and specificity. Then we propose a nonparametric model based on description length. Experimental results prove the high effectiveness of verb patterns.We further apply verb patterns to context-Aware conceptualization, to show that verb patterns are helpful in semantic-related tasks.
AB - Verbs are important in semantic understanding of natural language. Traditional verb representations, such as FrameNet, PropBank, VerbNet, focus on verbs' roles. These roles are too coarse to represent verbs' semantics. In this paper, we introduce verb patterns to represent verbs' semantics, such that each pattern corresponds to a single semantic of the verb. First we analyze the principles for verb patterns: generality and specificity. Then we propose a nonparametric model based on description length. Experimental results prove the high effectiveness of verb patterns.We further apply verb patterns to context-Aware conceptualization, to show that verb patterns are helpful in semantic-related tasks.
UR - http://www.scopus.com/inward/record.url?scp=85007233420&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:85007233420
T3 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
SP - 2587
EP - 2593
BT - 30th AAAI Conference on Artificial Intelligence, AAAI 2016
PB - AAAI press
Y2 - 12 February 2016 through 17 February 2016
ER -