Multiword Expressions: A Pain in the Neck for NLP
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Experiments on candidate data for collocation extraction
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Enriching the knowledge sources used in a maximum entropy part-of-speech tagger
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Extracting multiword expressions with a semantic tagger
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
A measure of syntactic flexibility for automatically identifying multiword expressions in corpora
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Semantics-based multiword expression extraction
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
MWE '07 Proceedings of the Workshop on a Broader Perspective on Multiword Expressions
Statistically-driven alignment-based multiword expression identification for technical domains
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
Exploiting translational correspondences for pattern-independent MWE identification
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
Mining complex predicates in Hindi using a parallel Hindi-English corpus
MWE '09 Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications
Collocation extraction beyond the independence assumption
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
NLPLING '10 Proceedings of the 2010 Workshop on NLP and Linguistics: Finding the Common Ground
Identifying multi-word expressions by leveraging morphological and syntactic idiosyncrasy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Multiword expressions in the wild?: the mwetoolkit comes in handy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations
Web-based and combined language models: a case study on noun compound identification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
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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In this paper, we describe our methods to detect noun compounds and light verb constructions in running texts. For noun compounds, dictionary-based methods and POS-tagging seem to contribute most to the performance of the system whereas for light verb constructions, the combination of POS-tagging, syntactic information and restrictions on the nominal and verbal component yield the best result. However, focusing on deverbal nouns proves to be beneficial for both types of MWEs. The effect of syntax is negligible on noun compound detection whereas it is unambiguously helpful for identifying light verb constructions.