%0 Conference Proceedings %T CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs using Sequential and Dependency-Based Approaches %A Moreau, Erwan %A Alsulaimani, Ashjan %A Maldonado, Alfredo %A Vogel, Carl %Y Savary, Agata %Y Ramisch, Carlos %Y Hwang, Jena D. %Y Schneider, Nathan %Y Andresen, Melanie %Y Pradhan, Sameer %Y Petruck, Miriam R. L. %S Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) %D 2018 %8 August %I Association for Computational Linguistics %C Santa Fe, New Mexico, USA %F moreau-etal-2018-crf %X 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. %U https://aclanthology.org/W18-4926 %P 241-247