ABSTRACT
In the area of natural language processing, there is a wide variety of text data available, but not in the standard format and therefore it is necessary to standardize it. This paper concentrates on an anaphora resolution for Marathi text because the anaphora has been resolved in various foreign as well as Indian languages like Hindi, Bengali, Kannada and many more but very less work has been done in Marathi. Anaphora often occurs written text and spoken dialogue and it is necessary to resolve an anaphora to better understanding of the discourse or the sentence because the a human being we can easily find out the anaphora refer for what antecedents but for machine it is very difficult task and hence resolving anaphora becomes a most challenging task for the researcher Here this paper concentrate to resolving the anaphora in Marathi text using the gender and the number agreement as well as the animistic knowledge. And the overall performance achieved by the system is 68.88%.
- Yu, J., Moosavi, N. S., Paun, S., & Poesio, M. (2021). Stay Together: A System for Single and Split-antecedent Anaphora Resolution. arXiv preprint arXiv:2104.05320.Google Scholar
- Kim, Y., Ra, D., & Lim, S. (2021). Zero-anaphora resolution in Korean based on deep language representation model: BERT. ETRI Journal, 43(2), 299--312.Google ScholarCross Ref
- Allein, L., Leeuwenberg, A., & Moens, M. F. (2020). Binary and multitask classification model for Dutch anaphora resolution: Die/dat prediction. arXiv preprint arXiv:2001.02943.Google Scholar
- Yang, Q., Yu, L., Tian, S., & Song, J. (2020). Multi-attention-based capsule network for Uyghur personal pronouns resolution. IEEE Access, 8, 76832--76840.Google ScholarCross Ref
- Yu, J., Uma, A., &Poesio, M. (2019). A cluster ranking model for full anaphora resolution. arXiv preprint arXiv:1911.09532.Google Scholar
- Aktaş, B., Scheffler, T., & Stede, M. (2018, June). Anaphora resolution for Twitter conversations: An exploratory study. In Proceedings of the First Workshop on Computational Models of Reference, Anaphora and Coreference (pp. 1--10.Google ScholarCross Ref
- Yin, Q., Zhang, Y., Zhang, W., Liu, T., & Wang, W. Y. (2018). Deep reinforcement learning for chinese zero pronoun resolution. arXiv preprint arXiv:1806.03711.Google Scholar
- Singla, D., & Kumar, P. (2017, June). Rule based anaphora resolution in Hindi. In 2017 International Conference on Computational Intelligence in Data Science (ICCIDS) (pp. 1--5. IEEE.Google Scholar
- Ashima, A., & Mohana, C. R. (2016, September). Anaphora Resolution in Hindi: A Hybrid Approach. In The International Symposium on Intelligent Systems Technologies and Applications (pp. 815--830. Springer, Cham.Google Scholar
- Jonnalagadda, H. R., & Mamidi, R. (2015, December). Resolution of pronominal anaphora for Telugu dialogues. In Proceedings of the 12th international conference on natural language processing (pp. 183--188.Google Scholar
- Athira, S., Lekshmi, T. S., Rajeev, R. R., Sherly, E., & Reghuraj, P. C. (2014, December). Pronominal anaphora resolution using salience score for Malayalam. In 2014 First International Conference on Computational Systems and Communications (ICCSC) (pp. 47--51. IEEE.Google Scholar
- Dakwale, P., Mujadia, V., & Sharma, D. M. (2013, October). A hybrid approach for anaphora resolution in hindi. In Proceedings of the Sixth International Joint Conference on Natural Language Processing (pp. 977--981.Google Scholar
- Senapati, A., & Garain, U. (2012, November). Anaphora Resolution in Bangla using global discourse knowledge. In 2012 International Conference on Asian Language Processing (pp. 49--52. IEEE.Google ScholarDigital Library
- Iida, R., & Poesio, M. (2011, June). A cross-lingual ILP solution to zero anaphora resolution. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 804--813.Google ScholarDigital Library
- Jakob, N., & Gurevych, I. (2010, July). Using anaphora resolution to improve opinion target identification in movie reviews. In Proceedings of the ACL 2010 Conference Short Papers (pp. 263--268.Google ScholarDigital Library
- Spitkovsky, V. I., Alshawi, H., & Jurafsky, D. (2011, June). Punctuation: Making a point in unsupervised dependency parsing. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning (pp. 19--28.Google Scholar
- Imamura, K., Saito, K., & Izumi, T. (2009, August). Discriminative approach to predicate-argument structure analysis with zero-anaphora resolution. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers (pp. 85--88.Google ScholarDigital Library
- Orasan, C., Cristea, D., Mitkov, R., & Branco, A. H. (2008, May). Anaphora Resolution Exercise: an Overview. In LREC.Google Scholar
Index Terms
- Resolving Anaphora using Gender and Number Agreement in Marathi text
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