Corpus-based method for automatic identification of support verbs for nominalizations
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Deriving verbal and compositional lexical aspect for NLP applications
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Diagnostics for determining compatibility in English support-verb-nominalization pairs
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Learning English light verb constructions: contextual or statistical
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
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We explore the properties of support-verb and nominalization (SVN) pairs in English, a type of multiword expression in which a semantically impoverished verb combines with a complement nominalization sharing an unexpressed role with the verb. This study follows others in seeking syntactic or lexical semantic factors correlated with the acceptability of these constructions. In particular, following recent work showing certain semantic verb class features to improve SVN classification [Tu and Roth 2011], we explore the possibility that support verbs and the verbal roots of nominalizations in acceptable SVN pairs are clustered according to the classes of Levin [1993]. We compare the compatibility correlation of these results with those of the Aktionsart-class-based proposal of Barrett and Davis [2002]. We find the evidence that Levin classes are a factor in the acceptability of SVN constructions to be equivocal, and conclude with a discussion of the reasons for this finding.