Resolving Anaphora using Gender and Number Agreement in Marathi text-Reference-Cited by-同舟云学术

Resolving Anaphora using Gender and Number Agreement in Marathi text

Published:2021-08-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence
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Author:

Khandale Kalpana¹,Mahender C. Namrata¹

Affiliation:

1. Department of Computer Science and I.T. Dr. Babasaheb Ambedkar Marathwada University, Aurangabad Maharashtra India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3484824.3484880

Reference18 articles.

1. 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 . 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.

2. Zero‐anaphora resolution in Korean based on deep language representation model: BERT

3. 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 . 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.

4. Multi-Attention-Based Capsule Network for Uyghur Personal Pronouns Resolution

5. Yu , J. , Uma , A. , & Poesio , M. ( 2019 ). A cluster ranking model for full anaphora resolution. arXiv preprint arXiv:1911.09532 . Yu, J., Uma, A., &Poesio, M. (2019). A cluster ranking model for full anaphora resolution. arXiv preprint arXiv:1911.09532.