The derivation of a large computational lexicon for English from LDOCE
Computational lexicography for natural language processing
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
Automated multiword expression prediction for grammar engineering
MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
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
Using small random samples for the manual evaluation of statistical association measures
Computer Speech and Language
Learning about the meaning of verb-particle constructions from corpora
Computer Speech and Language
Statistically-driven alignment-based multiword expression identification for technical domains
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
A hybrid approach for multiword expression identification
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
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This paper investigates, in a first stage, some methods for the automatic acquisition of verb-particle constructions (VPCs) taking into account their statistical properties and some regular patterns found in productive combinations of verbs and particles. Given the limited coverage provided by lexical resources, such as dictionaries, and the constantly growing number of VPCs, possible ways of automatically identifying them are crucial for any NLP task that requires some degree of semantic interpretation. In a second stage we also study whether the combination of statistical and linguistic properties can provide some indication of the degree of idiomaticity of a given VPC. The results obtained show that such combination can successfully be used to detect VPCs and distinguish idiomatic from compositional cases.