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CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs Using Sequential and Dependency-Based Approaches
- Source :
- Scopus-Elsevier
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
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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 1 and is available at http://github.com/erwanm/adapt-vmwe18.
- Subjects :
- [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier
- Accession number :
- edsair.dedup.wf.001..ea696d56ff4be8149969ef4c3397a5ea