Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources
Manon Scholivet, Carlos Ramisch · 2017
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 parserbased MWE identification methods without requiring syntactic trees from a treebank.Moreover, we study how well the CRF can take into account external information coming from a lexicon.