Principle-Based Parsing: Computation and Psycholinguistics
Principle-Based Parsing: Computation and Psycholinguistics
Verb class disambiguation using informative priors
Computational Linguistics
Automatic identification of non-compositional phrases
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A general feature space for automatic verb classification
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Preposition semantic classification via Penn Treebank and FrameNet
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
A statistical approach to the semantics of verb-particles
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Detecting a continuum of compositionality in phrasal verbs
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Decision trees for sense disambiguation of prepositions: case of over
CLS '04 Proceedings of the HLT-NAACL Workshop on Computational Lexical Semantics
Automatically distinguishing literal and figurative usages of highly polysemous verbs
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
Deep lexical acquisition of verb-particle constructions
Computer Speech and Language
The availability of verb-particle constructions in lexical resources: How much is enough?
Computer Speech and Language
Learning about the meaning of verb-particle constructions from corpora
Computer Speech and Language
Disambiguating Japanese compound verbs
Computer Speech and Language
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Distinguishing subtypes of multiword expressions using linguistically-motivated statistical measures
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Sorting out the most confusing English phrasal verbs
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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Previous computational work on learning the semantic properties of verb-particle constructions (VPCs) has focused on their compositionality, and has left unaddressed the issue of which meaning of the component words is being used in a given VPC. We develop a feature space for use in classification of the sense contributed by the particle in a VPC, and test this on VPCs using the particle up. The features that capture linguistic properties of VPCs that are relevant to the semantics of the particle outperform linguistically uninformed word co-occurrence features in our experiments on unseen test VPCs.