The derivation of a large computational lexicon for English from LDOCE
Computational lexicography for natural language processing
Using the web to overcome data sparseness
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Extracting the unextractable: a case study on verb-particles
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Verb-particle constructions and lexical resources
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
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
A general feature space for automatic verb classification
Natural Language Engineering
Picking them up and figuring them out: verb-particle constructions, noise and idiomaticity
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Prepositions in applications: A survey and introduction to the special issue
Computational Linguistics
Automated multiword expression prediction for grammar engineering
MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
Classifying particle semantics in English verb-particle constructions
MWE '06 Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties
Statistically-driven alignment-based multiword expression identification for technical domains
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
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In this paper, we investigate the phenomenon of verb-particle constructions, discussing their characteristics and availability in some lexical resources. Given the limited coverage provided by these resources and the constantly growing number of verb-particle combinations, possible ways of extending their coverage are investigated, taking into account regular patterns found in some productive combinations of verbs and particles. We propose, in particular, the use of a semantic classification of verbs (such as that defined by [English verb classes and alternations - a preliminary investigation, The University of Chicago Press]) as a means to obtain productive verb-particle constructions and the use of the World Wide Web to validate them, and discuss the issues involved in adopting such an approach.