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Named Entity Recognition for Gujarati: A CRF Based Approach

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Mining Intelligence and Knowledge Exploration

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8284))

Abstract

This paper is about Named Entity Recognition (NER) for Gujarati language. Not much work has been done in NER for Gujarati. In this paper, an NER tagger is build using Conditional Random Fields (CRF). The NER tagger is capable of identifying person, location and organization names with an F1-score of 0.832.

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References

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Author information

Authors and Affiliations

  1. Information Retrieval Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, 382007, India

    Vipul Garg, Nikit Saraf & Prasenjit Majumder

Authors
  1. Vipul Garg
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  2. Nikit Saraf
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  3. Prasenjit Majumder
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Editor information

Editors and Affiliations

  1. Department of Business Information Systems, FSIC, National University of Ireland, University College Cork, O’Rahilly Buildings, Cork, Ireland

    Rajendra Prasath

  2. Research Centre in Computer Science, V.H.N.Senthikumara Nadar College (Autonomous), 626 001, Virudhunagar, Tamil Nadu, India

    T. Kathirvalavakumar

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© 2013 Springer International Publishing Switzerland

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Garg, V., Saraf, N., Majumder, P. (2013). Named Entity Recognition for Gujarati: A CRF Based Approach. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/10.1007/978-3-319-03844-5_74

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  • DOI: https://doi.org/10.1007/978-3-319-03844-5_74

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03843-8

  • Online ISBN: 978-3-319-03844-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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