CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs Using Sequential and Dependency-Based Approaches - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

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

Résumé

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 1 and is available at http://github.com/erwanm/adapt-vmwe18.
Fichier principal
Vignette du fichier
vmwe18.pdf (210.28 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01870583 , version 1 (07-09-2018)

Identifiants

  • HAL Id : hal-01870583 , version 1

Citer

Erwan Moreau, Ashjan Alsulaimani, Alfredo Maldonado, Carl Vogel. CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs Using Sequential and Dependency-Based Approaches. Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) at the 27th International Conference on Computational Linguistics (COLING 2018), Aug 2018, Santa Fe, NM, United States. pp.241-247. ⟨hal-01870583⟩
44 Consultations
52 Téléchargements

Partager

Gmail Facebook X LinkedIn More