Abstract
Argument pair extraction (APE) aims to automatically mine argument pairs from two interrelated argumentative documents. Existing studies typically identify argument pairs indirectly by predicting sentence-level relations between two documents, neglecting the modeling of the holistic argument-level interactions. Towards this issue, we propose to address APE via a machine reading comprehension (MRC) framework with two phases. The first phase employs an argument mining (AM) query to identify all arguments in two documents. The second phase considers each identified argument as an APE query to extract its paired arguments from another document, allowing to better capture the argument-level interactions. Also, this framework enables these two phases to be jointly trained in a single MRC model, thereby maximizing the mutual benefits of them. Experimental results demonstrate that our approach achieves the best performance, outperforming the state-of-the-art method by 7.11% in F1 score.- Anthology ID:
- 2022.acl-short.4
- Volume:
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Smaranda Muresan, Preslav Nakov, Aline Villavicencio
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 29–35
- Language:
- URL:
- https://aclanthology.org/2022.acl-short.4
- DOI:
- 10.18653/v1/2022.acl-short.4
- Cite (ACL):
- Jianzhu Bao, Jingyi Sun, Qinglin Zhu, and Ruifeng Xu. 2022. Have my arguments been replied to? Argument Pair Extraction as Machine Reading Comprehension. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 29–35, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- Have my arguments been replied to? Argument Pair Extraction as Machine Reading Comprehension (Bao et al., ACL 2022)
- PDF:
- https://preview.aclanthology.org/landing_page/2022.acl-short.4.pdf
- Code
- hlt-hitsz/mrc_ape