Choosing features for classifying multiword expressions

Eric Laporte (1)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge

Multiword expressions (MWEs) are a heterogeneous set with a glaring need for classifications. Designing a satisfactory classification involves choosing features. In the case of MWEs, many features are a priori available. Not all features are equal in terms of how reliably MWEs can be assigned to classes. Accordingly, resulting classifications may be more or less fruitful for computational use. I outline an enhanced classification. In order to increase its suitability for many languages, I use previous works taking into account various languages.

Mots clés: Taxonomy; Support Verb; Language resource; Lexicon-Grammar; Multiword expression

Domaines: Traitement du texte et du document; Linguistique; Informatique et langage [cs.CL]

Eric Laporte. Choosing features for classifying multiword expressions. Manfred Sailer; Stella Markantonatou. Multiword expressions: Insights from a multi-lingual perspective, Language Science Press, pp.143-186, 2018, 978-3-96110-063-7. ⟨10.5281/zenodo.1182597⟩. ⟨hal-01802489⟩