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Pronominal Anaphora Resolution in Hindi Language Using Number Agreement and Animistic Knowledge

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Proceedings of the 2nd International Conference on Communication, Devices and Computing (ICCDC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 602))

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Abstract

Anaphora resolution is always been one of the most active research areas in the domain of Natural Language Processing (NLP). Anaphora resolution refers to the act of referring, it is commonly used for pronoun resolution in discourse. It tends to figure out who or what the referent is used for. Much of the work is been carried out and still going on in this field. A number of algorithms has been proposed to solve and to find out the referent. Anaphora resolution approaches rely on domain knowledge and linguistic. The disadvantage of such approach is that it takes lot of effort and hence is laborious. This paper focuses only on pronominal anaphora resolution for Hindi language sentences that are preprocessed by a part-of-speech tagger. Inputs are checked using number agreement and animistic of the noun phrase. The paper defines resolving anaphora on the basis of limited knowledge of the language. A method called transitive anaphora resolution is also proposed, where the antecedent may not be present in the same or the previous sentence.

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References

  1. Byron, D.K.: The uncommon denominator: a proposal for consistent reporting of pronoun resolution results. Comput. Linguist. 27(4), 569–577 (2001)

    Article  Google Scholar 

  2. Ahir, P., et al.: Anaphora resolution for hindi language

    Google Scholar 

  3. Lakhmani, P., Singh, S.: Anaphora resolution in hindi language. Int. J. Inf. Comput. Technol. 3, 609–616 (2013)

    Google Scholar 

  4. Dutta, K., Prakash, N., Kaushik, S.: Resolving pronominal anaphora in hindi using hobbs algorithm. Web J. Formal Comput. Cognit. Linguist. 1(10), 5607–5611 (2008)

    Google Scholar 

  5. Mitkov, R.: Factors in anaphora resolution: they are not the only things that matter: a case study based on two different approaches. In: Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts. Association for Computational Linguistics (1997)

    Google Scholar 

  6. Mitkov, R.: Anaphora Resolution. Routledge (2014)

    Google Scholar 

  7. Lappin, S., Leass, H.J.: An algorithm for pronominal anaphora resolution. Comput. Linguist. 20(4), 535–561 (1994)

    Google Scholar 

  8. Rich, E., LuperFoy, S.: An architecture for anaphora resolution. In: Proceedings of the Second Conference on Applied Natural Language Processing. Association for Computational Linguistics (1988)

    Google Scholar 

  9. Dakwale, P.: Anaphora resolution in Hindi. Diss. Ph.D. thesis, International Institute of Information Technology Hyderabad (2014)

    Google Scholar 

  10. Dalal, A., et al.: Hindi part-of-speech tagging and chunking: a maximum entropy approach. Proc. NLPAI Mach. Learn. Compet. (2006)

    Google Scholar 

  11. http://www.indif.com/kids/hindi_stories/hindi_short_stories_08.aspx

  12. http://badhtechalo.com/hindi-stories-with-moral/

  13. http://indif.com/kids/hindi_stories/hindi_short_stories_01.aspx

  14. Mohana, R.: Anaphora resolution in hindi: issues and directions. Indian J. Sci. Technol. 9(32) (2016)

    Google Scholar 

  15. Sikdar, U.K.: Ekbal, A., Saha, S.: A generalized framework for anaphora resolution in Indian languages. Knowl. Based Syst. 109, 147–159 (2016)

    Google Scholar 

  16. Dakwale, P., Mujadia, V., Sharma, D.M.: A hybrid approach for anaphora resolution in hindi. In: Proceedings of the Sixth International Joint Conference on Natural Language Processing (2013)

    Google Scholar 

  17. Dutta, K., Kaushik, S., Prakash, N.: Machine learning approach for the classification of demonstrative pronouns for indirect anaphora in hindi news items. Prague Bull. Math. Linguist. 95, 33–50 (2011)

    Article  Google Scholar 

  18. Devi, S.L., Ram, V.S., Rao, P.R.K.: A generic anaphora resolution engine for Indian languages. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers (2014)

    Google Scholar 

  19. Prasad, R., Strube, M.: Discourse salience and pronoun resolution in Hindi. Penn Work. Pap. Linguist. 6(3), 189–208 (2000)

    Google Scholar 

  20. Mitkov, R.: Robust pronoun resolution with limited knowledge. In: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, vol. 2. Association for Computational Linguistics (1998)

    Google Scholar 

  21. Jagan, B., et al.: Anaphora resolution in tamil using universal networking language. In: IICAI (2011)

    Google Scholar 

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Authors and Affiliations

  1. Computer Engineering Department, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Kavita Tewani

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  1. Kavita Tewani
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Correspondence to Kavita Tewani .

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Editors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Durgapur, Durgapur, West Bengal, India

    Sumit Kundu

  2. Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Mangalore, Karnataka, India

    U. Shripathi Acharya

  3. Department of Electronics and Communication Engineering, Haldia Institute of Technology, Haldia, West Bengal, India

    Chanchal Kr. De

  4. Department of Electronics and Communication Engineering, Haldia Institute of Technology, Haldia, West Bengal, India

    Surajit Mukherjee

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Tewani, K. (2020). Pronominal Anaphora Resolution in Hindi Language Using Number Agreement and Animistic Knowledge. In: Kundu, S., Acharya, U.S., De, C.K., Mukherjee, S. (eds) Proceedings of the 2nd International Conference on Communication, Devices and Computing. ICCDC 2019. Lecture Notes in Electrical Engineering, vol 602. Springer, Singapore. https://doi.org/10.1007/978-981-15-0829-5_67

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  • DOI: https://doi.org/10.1007/978-981-15-0829-5_67

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0828-8

  • Online ISBN: 978-981-15-0829-5

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