NERP-CRF: A tool for the named entity recognition using conditional random fields

Authors

  • Daniela Oliveira F. do Amaral Pontifical Catholic University of Rio Grande do Sul image/svg+xml
  • Renata Vieira Pontifical Catholic University of Rio Grande do Sul image/svg+xml

Keywords:

Reconhecimento de Entidades Nomeadas, Conditional Random Fields, Processamento da Linguagem Natural, Língua Portuguesa

Abstract

Conditional Random Fields (CRF) is a probabilistic method for structured prediction which has been widely applied in various areas such as Natural Language Processing (NLP), including the Named Entity Recognition (NER), computer vision, and bioinformatics. Therefore, this paper proposes to perform the task of applying the method CRF NER and an evaluation of its performance based on the corpus of HAREM. In summary, the system NERP-CRF achieved the best Precision results when compared to the systems evaluated in the same corpus, proving to be a competitive and effective system.

References

Published

2014-07-31

Issue

Section

Simpósio de Tecnologia da Informação e Linguagem Humana, 2013

How to Cite

NERP-CRF: A tool for the named entity recognition using conditional random fields. (2014). Linguamática, 6(1), 41-49. https://www.linguamatica.com/index.php/linguamatica/article/view/v6n1-03