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

机译:PARSEME共享任务2018上的CRF-Seq和CRF-DepTree:使用基于顺序和基于依赖的方法检测语言MWE

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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 3.01 and is available at http://github.com/erwanm/adapt-vmwel8.
机译:本文介绍了两种用于检测言语多词表达(VMWE)的系统,它们都在PARSEME VMWE Shared Task 2018的封闭赛道上竞争.CRF-DepTree-categs实现了一种基于依赖树的方法,旨在利用句法和语义关系令牌之间; CRF-Seq-nocategs实现了一种鲁棒的顺序方法,该方法仅需要词缀和词法标记。两种系统均位于排名的前半部分,后者在基于令牌的评估中排名第二。两种系统的代码均在GNU通用公共许可证版本3.01下发布,可从http://github.com/erwanm/adapt-vmwel8获得。

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