Spanish ner with word representations and conditional random fields

Jenny Copara, Jose Ochoa, Camilo Thorne, Goran Glavaš

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Word Representations such as word embeddings have been shown to significantly improve (semi-)supervised NER for the English language. In this work we investigate whether word representations can also boost (semi-)supervised NER in Spanish. To do so, we use word representations as additional features in a linear chain Conditional Random Field (CRF) classifier. Experimental results (82.44 Fscore on the CoNLL-2002 corpus) show that our approach is comparable to some state-of-the-art Deep Learning approaches for Spanish, in particular when using cross-lingual Word Representations.

Original languageEnglish
Title of host publicationProceedings of NEWS 2016
Subtitle of host publication6th Named Entity Workshop at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
EditorsXiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumara
PublisherAssociation for Computational Linguistics (ACL)
Pages34-40
Number of pages7
ISBN (Electronic)9781945626166
StatePublished - 2016
Externally publishedYes
Event6th Named Entity Workshop, NEWS 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany
Duration: Aug 12 2016 → …

Publication series

NameProceedings of NEWS 2016: 6th Named Entity Workshop at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016

Conference

Conference6th Named Entity Workshop, NEWS 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Country/TerritoryGermany
CityBerlin
Period08/12/16 → …

Keywords

  • Conditional Random Fields
  • NER for Spanish
  • Word Representations

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