Abstract
While general argument retrieval systems have significantly matured, multilingual argument retrieval in a socio-cultural setting is an overlooked problem. Advancements in such systems are imperative to enhance the inclusivity of society. The Perspective Argument Retrieval (PAR) task addresses these aspects and acknowledges their potential latent influence on argumentation. Here, we present a multilingual retrieval system for PAR that accounts for societal diversity during retrieval. Our approach couples a retriever and a re-ranker and spans multiple languages, thus factoring in diverse socio-cultural settings. The performance of our end-to-end system on three distinct test sets testify to its robustness.- Anthology ID:
- 2024.argmining-1.16
- Volume:
- Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024)
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand
- Editors:
- Yamen Ajjour, Roy Bar-Haim, Roxanne El Baff, Zhexiong Liu, Gabriella Skitalinskaya
- Venue:
- ArgMining
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 159–163
- Language:
- URL:
- https://aclanthology.org/2024.argmining-1.16
- DOI:
- Cite (ACL):
- Sougata Saha and Rohini Srihari. 2024. Turiya at PerpectiveArg2024: A Multilingual Argument Retriever and Reranker. In Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), pages 159–163, Bangkok, Thailand. Association for Computational Linguistics.
- Cite (Informal):
- Turiya at PerpectiveArg2024: A Multilingual Argument Retriever and Reranker (Saha & Srihari, ArgMining 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.argmining-1.16.pdf