CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs using Sequential and Dependency-Based Approaches

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2018Access:
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Moreau, Erwan and Alsulaimani, Ashjan and Maldonado, Alfredo and Vogel, Carl, CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs using Sequential and Dependency-Based Approaches, Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), Sante Fe, NM, USA, Association for Computational Linguistics, 2018, 241-247Download Item:
Abstract:
This paper describes two systems for detecting Verbal Multiword Expressions (VMWEs) which
both competed in the closed track at the PARSEME VMWE Shared Task 2018. CRF-DepTree-
categs implements an approach based on the dependency tree, intended to exploit the syntac-
tic and semantic relations between tokens; CRF-Seq-nocategs implements a robust sequential
method which requires only lemmas and morphosyntactic tags. Both systems ranked in the top
half of the ranking, the latter ranking second for token-based evaluation. The code for both
systems is published under the GNU General Public License version 3.0 1 and is available at
http://github.com/erwanm/adapt-vmwe18.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
13/RC/2106
Author's Homepage:
http://people.tcd.ie/vogelhttp://people.tcd.ie/moreaue
http://people.tcd.ie/maldona
Description:
PUBLISHEDSante Fe, NM, USA
Other Titles:
Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)Publisher:
Association for Computational LinguisticsType of material:
Conference PaperCollections
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Digital Humanities , Computational Linguistics , multi-word expressionsMetadata
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