Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources - Aix-Marseille Université Access content directly
Conference Papers Year : 2017

Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources

Abstract

We present a simple and efficient tagger capable of identifying highly ambiguous multiword expressions (MWEs) in French texts. It is based on conditional random fields (CRF), using local context information as features. We show that this approach can obtain results that, in some cases, approach more sophisticated parser-based MWE identification methods without requiring syntactic trees from a tree-bank. Moreover, we study how well the CRF can take into account external information coming from a lexicon.
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Dates and versions

hal-01795903 , version 1 (23-05-2018)

Identifiers

  • HAL Id : hal-01795903 , version 1

Cite

Manon Scholivet, Carlos Ramisch. Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources. Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), 2017, Valencia, Spain. pp.167 - 175. ⟨hal-01795903⟩
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