Research ArticleJournal of Scientometric ResearchVol. 14 | Issue 1 | 2025 | pp. 342–30Open access
Peer-to-Peer Network for Co-reference Resolution
- 1*,
- 1
- 1 Department of Computer Science and Engineering, Central Institute of Technology Kokrajhar, Balagaon, Kokrajhar, Assam, INDIA.
Published in Journal of Scientometric Research
Correspondence: Mridusmita Das
Department of Computer Science and Engineering, Central Institute of Technology Kokrajhar, Balagaon, Kokrajhar, Assam, INDIA.
Email: ph21cse1003@cit.ac.in
Copyright: © 2025 Manuscript Technomedia. This is an open access article.
- Published:
- Aug 25, 2025
- Received:
- Jul 25, 2024
- Accepted:
- Nov 12, 2024
How to cite
Das, M., & Senapati, A. (2025). Peer-to-Peer Network for Co-reference Resolution. Journal of Scientometric Research, 14(1), 342–30. https://doi.org/10.5530/jscires.20251457
Abstract
Co-reference resolution has been a perennial issue in linguistics and language processing discipline. Over the past more than fifty years, researchers have developed a variety of strategies to solve this problem. The problem is still being researched today and trying to address the challenges of the problem in various languages. We have discussed a Peer-to-Peer (P2P) network-based strategy for developing a co-reference resolution system in this research. This method substitutes global information for local information in the text and hence improves the accuracy. The Assamese data set is created with the necessary tagging to test the system, and the results are pretty encouraging.
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Article metadata
| Title | Peer-to-Peer Network for Co-reference Resolution |
|---|---|
| Authors | Mridusmita Das; Apurbalal Senapati |
| Affiliations | Department of Computer Science and Engineering, Central Institute of Technology Kokrajhar, Balagaon, Kokrajhar, Assam, INDIA. |
| Corresponding author | ph21cse1003@cit.ac.in |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 14, Issue 1 (2025) |
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