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            <title xml:lang="en">CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs Using Sequential and Dependency-Based Approaches</title>
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            <funder>The ADAPT Centre for Digital Content Technology is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.</funder>
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            <idno type="halRefHtml">&lt;i&gt;Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018) at the 27th International Conference on Computational Linguistics (COLING 2018)&lt;/i&gt;, Aug 2018, Santa Fe, NM, United States. pp.241-247</idno>
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                <title xml:lang="en">CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs Using Sequential and Dependency-Based Approaches</title>
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              <p>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.</p>
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