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A System for Recognition of Named Entities in Odia Text Corpus Using Machine Learning Algorithm

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Computational Intelligence in Data Mining - Volume 1

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 31))

Abstract

This paper presents a novel approach to recognize named entities in Odia corpus. The development of a NER system for Odia using Support Vector Machine is a challenging task in intelligent computing. NER aims at classifying each word in a document into predefined target named entity classes in a linear and non-linear fashion. Starting with named entity annotated corpora and a set of features it requires to develop a base-line NER System. Some language specific rules are added to the system to recognize specific NE classes. Moreover, some gazetteers and context patterns are added to the system to increase its performance as it is observed that identification of rules and context patterns requires language-based knowledge to make the system work better. We have used required lexical databases to prepare rules and identify the context patterns for Odia. Experimental results show that our approach achieves higher accuracy than previous approaches.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Technology, Institute of Technical Education and Research, SOA University, Bhubaneswar, India

    Bishwa Ranjan Das & Srikanta Patnaik

  2. Department of Computer Science and Application, Sambalpur University, Burla, India

    Sarada Baboo

  3. Linguistic Research Unit, Indian Statistical Institute, Kolkata, India

    Niladri Sekhar Dash

Authors
  1. Bishwa Ranjan Das
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  2. Srikanta Patnaik
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  3. Sarada Baboo
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  4. Niladri Sekhar Dash
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Corresponding author

Correspondence to Bishwa Ranjan Das .

Editor information

Editors and Affiliations

  1. University of Canberra, Canberra, Australia and University of South Australia, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  2. Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Dept. of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

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Das, B.R., Patnaik, S., Baboo, S., Dash, N.S. (2015). A System for Recognition of Named Entities in Odia Text Corpus Using Machine Learning Algorithm. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 1. Smart Innovation, Systems and Technologies, vol 31. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2205-7_30

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  • DOI: https://doi.org/10.1007/978-81-322-2205-7_30

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2204-0

  • Online ISBN: 978-81-322-2205-7

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