Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
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MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
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MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
An empirical model of multiword expression decomposability
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
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MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
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MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
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MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
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GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Can recognising multiword expressions improve shallow parsing?
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Hungarian corpus of light verb constructions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
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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CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Learning to detect english and hungarian light verb constructions
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 1
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We identify several classes of multiword expressions that each require a different encoding in a (computational) lexicon, as well as a different treatment within a computational system. We examine linguistic properties pertaining to the degree of semantic idiosyncrasy of these classes of expressions. Accordingly, we propose statistical measures to quantify each property, and use the measures to automatically distinguish the classes.