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            <namePart type="given">Stella</namePart>
            <namePart type="family">Markantonatou</namePart>
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    <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 treebank. Moreover, we study how well the CRF can take into account external information coming from a lexicon.</abstract>
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%0 Conference Proceedings
%T Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources
%A Scholivet, Manon
%A Ramisch, Carlos
%Y Markantonatou, Stella
%Y Ramisch, Carlos
%Y Savary, Agata
%Y Vincze, Veronika
%S Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F scholivet-ramisch-2017-identification
%X 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 treebank. Moreover, we study how well the CRF can take into account external information coming from a lexicon.
%R 10.18653/v1/W17-1723
%U https://aclanthology.org/W17-1723
%U https://doi.org/10.18653/v1/W17-1723
%P 167-175

Markdown (Informal)

[Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources](https://aclanthology.org/W17-1723) (Scholivet & Ramisch, MWE 2017)

• Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources (Scholivet & Ramisch, MWE 2017)

ACL

• Manon Scholivet and Carlos Ramisch. 2017. Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources. In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), pages 167–175, Valencia, Spain. Association for Computational Linguistics.