The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger

Abstract

We describe the ATILF-LLF system built for the MWE 2017 Shared Task on automatic identification of verbal multiword expressions. We participated in the closed track only, for all the 18 available languages. Our system is a robust greedy transition-based system, in which MWE are identified through a MERGE transition. The system was meant to accommodate the variety of linguistic resources provided for each language, in terms of accompanying morphological and syntactic information. Using per-MWE Fscore, the system was ranked first 1 for all but two languages (Hungarian and Romanian).
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Dates and versions

hal-01930177 , version 1 (05-12-2018)

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  • HAL Id : hal-01930177 , version 1

Cite

Hazem Al Saied, Marie Candito, Matthieu Constant. The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger. The European Chapter of the Association for Computational Linguistics EACL 2017, Apr 2017, Valencia, Spain. pp.127 - 132. ⟨hal-01930177⟩
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