Key Point Matching with Transformers

Emanuele Cosenza


Abstract
This work aims at describing a solution for the Track 1 of the KPA 2021 shared task, analyzing different methodologies for the specific problem of key point matching. The analysis focuses on transformer based architectures, experimentally investigating the effectiveness of variants specifically tailored to the task.
Anthology ID:
2021.argmining-1.20
Volume:
Proceedings of the 8th Workshop on Argument Mining
Month:
November
Year:
2021
Address:
Punta Cana, Dominican Republic
Venues:
ArgMining | EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
190–199
Language:
URL:
https://aclanthology.org/2021.argmining-1.20
DOI:
10.18653/v1/2021.argmining-1.20
Bibkey:
Cite (ACL):
Emanuele Cosenza. 2021. Key Point Matching with Transformers. In Proceedings of the 8th Workshop on Argument Mining, pages 190–199, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Key Point Matching with Transformers (Cosenza, ArgMining 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.argmining-1.20.pdf