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

Erwan Moreau, Ashjan Alsulaimani, Alfredo Maldonado, Carl Vogel


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 syntactic 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 and is available at http://github.com/erwanm/adapt-vmwe18.
Anthology ID:
W18-4926
Volume:
Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venue:
LAW
SIGs:
SIGLEX | SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
241–247
Language:
URL:
https://aclanthology.org/W18-4926
DOI:
Bibkey:
Cite (ACL):
Erwan Moreau, Ashjan Alsulaimani, Alfredo Maldonado, and Carl Vogel. 2018. CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs using Sequential and Dependency-Based Approaches. In Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), pages 241–247, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs using Sequential and Dependency-Based Approaches (Moreau et al., LAW 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/W18-4926.pdf
Code
 erwanm/adapt-vmwe18