Advertisement

Named Entity Recognition in Manipuri: A Hybrid Approach

  • Jimmy L.
  • Darvinder Kaur
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8105)

Abstract

This paper provides a hybrid approach to the Named Entity Recognition (NER) in Manipuri language. The hybrid approach so used is the combination of statistical approach (Conditional Random Field, CRF) and rule-based approach. The rule-based approach helps in defining various unique word features that are used in accurately classifying the Named Entities by the CRF classifier. With small corpus size, this hybrid approach proves to have Recall, Precision and F-score of 92.26%, 94.27% and 93.3% respectively.

Keywords

NER Machine Learning Rule Base Manipuri 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Srivastava, S., Sanglikar, M., Kothari, D.C.: Named Entity Recognition System for Hindi language: A Hybrid Approach. In: The Proceedings of the IJCL-2011, pp. 10–23 (2011)Google Scholar
  2. 2.
    Singh, T.D., Nongmeikappam, K., Ekbal, A., Bandyopadhyay, S.: Named Entity Recognition for Manipuri using SVM. In: The Proceedings of 23rd Pacific Asia Conference on Language, Information and Computation, pp. 811–818 (2009)Google Scholar
  3. 3.
    Nongmeikappam, K., Singh, L.N., Shangkhunem, T., Salam, B., Chanu, N.M., Bandhyopadhyay, S.: CRF based Named Entity Recognition in Manipuri: A Highly Agglutinative Language, pp. 92–97. IEEE 0.1109/NCETACS (2011)Google Scholar
  4. 4.
    Saha, S.K., Sarkar, S., Mitra, P.: Gazetteer Preparation of Named Entity Recognition in Indian Language. In: The Proceedings of the 6th Workshop on Asian Language Resource, pp. 9–16 (2008)Google Scholar
  5. 5.
    Kaur, D., Gupta, V.: A Survey of Named Entity Recognition in English and other Indian Language. In: The Proceedings of the IJCSI, pp. 239–245 (2010)Google Scholar
  6. 6.
    Sashidhar, B., Yohan, P.M., Babu, A.V., Govardhan, A.: A Survey on Named Entity Recognition in Indian Language with particular reference to Telegu. In: The Proceedings of the IJCSI, pp. 438–443 (2011)Google Scholar
  7. 7.
    Singh, T.D., Bandyopadhyay, S.: Web Based Manipuri Corpus for Mutltiword NER and Reduplicated MWEs Identification using SVM. In: The Proceedings of the 1st Workshop on South and Southeast Asian Natural Language Processing, pp. 35–42 (2010)Google Scholar
  8. 8.
    Biswas, S., Mishra, S.P., Acharya, S., Mohanty, S.: Hybrid Oriya Named Entity Recognition system: Harnessing the Power of Rule. The Proceedings of the International Journal of Artificial Intelligence and Expert System, 1–6 (2010)Google Scholar
  9. 9.
    Ekbal, A., Bandyopadhyay, S.: Named Entity Recognition using Appropriate Unlabeled Data, Post-processing and Voting. In: The Proceedings of Informatica, pp. 2–3 (2010)Google Scholar
  10. 10.
    Petasis, G., Petridis, S., Paliouras, G., Karkaletsis, V., Perantonis, S.J., Spyropoulos, C.D.: Symbolic and Neural Learning for Named Entity Recognition. In: The Proceedings of 5th International Conference MTSR (2011)Google Scholar
  11. 11.
    Klien, D., Smarr, J., Nguyen, H., Manning, C.D.: Named Entity Recognition with Character-Level Models. In: The Proceedings of the 7th Conference on Natural Language Learning, pp. 180–183 (2003)Google Scholar
  12. 12.
    Chieu, H.L., Ng, H.T.: Named Entity Recognition: A Maximum Entropy Approach using Global Information. In: The Proceedings of the 19th International Conference on Computational Linguistic (2002)Google Scholar
  13. 13.
    Hasan, K.S., Rahman, A., Ng, V.: Learning-Based Named Entity Recognition for Morphologically-Rich Resource-Scarce Languages. In: The Proceedings of 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Athens, Greece, pp. 354–362 (2009)Google Scholar
  14. 14.
    Ekbal, A., Haque, R., Bandyopadhyay, S.: Named Entity Recognition in Bengali: A Conditional Random Field Approach. In: The Proceedings of International Joint Conference on Natural Language Processing, pp. 589–594 (2008)Google Scholar
  15. 15.
    Ekbal, A., Bandyopadhyay, S.: Named Entity Recognition in Bengali: A Multi-Engine Approach. In: The Proceedings of Northern European Journal of Language Technology, pp. 26–48 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jimmy L.
    • 1
  • Darvinder Kaur
    • 1
  1. 1.Department of CSE/ITLovely Professional UniversityPhagwaraIndia

Personalised recommendations