A transition-based verbal multiword expression analyzer - Archive ouverte HAL Access content directly
Book Sections Year : 2018

A transition-based verbal multiword expression analyzer

Abstract

We describe a robust transition-based analyzer for identifying and categorizing Verbal Multiword Expressions (VMWEs). The system was developed and evaluated using the datasets of the PARSEME shared task on VMWE identification (Savary et al. 2017). We accommodate the variety of linguistic resources provided for each language, in terms of accompanying morphological and syntactic information. Our system produces very competitive scores, for both VMWE identification and categorization, with respect to the shared task results.
Fichier principal
Vignette du fichier
Multiword expressions at length and in depth.pdf (241.94 Ko) Télécharger le fichier
Origin : Publication funded by an institution

Dates and versions

hal-01930522 , version 1 (05-12-2018)

Identifiers

Cite

Hazem Al Saied, Marie Candito, Mathieu Constant. A transition-based verbal multiword expression analyzer. Stella Markantonatou, Carlos Ramisch, Agata Savary, Veronika Vincze. Multiword expressions at length and in depth, Language Science Press, 2018, 978-3-96110-123-8. ⟨10.5281/zenodo.1469561⟩. ⟨hal-01930522⟩
43 View
60 Download

Altmetric

Share

Gmail Facebook X LinkedIn More