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

Hazem Al Saied (1) , Marie Candito (2) , Matthieu Constant (1)

1 ATILF - Analyse et Traitement Informatique de la Langue Française
2 LLF UMR7110 - Laboratoire de Linguistique Formelle

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).

Mots clés: Parseme Shared Task; transition system; MWE identification; Verbal Multiword Expression

Domaines: Traitement du texte et du document

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⟩