Fast and flexible MWE candidate generation with the mwetoolkit

Authors:
Vitor De Araujo;Carlos Ramisch;Aline Villavicencio
Affiliations:
Federal University of Rio Grande do Sul, Brazil;Federal University of Rio Grande do Sul, Brazil and GETALP - LIG, University of Grenoble, France;Federal University of Rio Grande do Sul, Brazil
Venue:
MWE '11 Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World
Year:
2011

Citing 4
Cited 0

Multiword Expressions: A Pain in the Neck for NLP

CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
The design, implementation, and use of the Ngram statistics package

CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present an experimental environment for computer-assisted extraction of Multiword Expressions (MWEs) from corpora. Candidate extraction works in two steps: generation and filtering. We focus on recent improvements in the former, for which we increased speed and flexibility. We present examples that show the potential gains for users and applications.