Detecting Argumentative Discourse Acts with Linguistic Alignment

Timothy Niven, Hung-Yu Kao


Abstract
We report the results of preliminary investigations into the relationship between linguistic alignment and dialogical argumentation at the level of discourse acts. We annotated a proof of concept dataset with illocutions and transitions at the comment level based on Inference Anchoring Theory. We estimated linguistic alignment across discourse acts and found significant variation. Alignment features calculated at the dyad level are found to be useful for detecting a range of argumentative discourse acts.
Anthology ID:
W19-4513
Volume:
Proceedings of the 6th Workshop on Argument Mining
Month:
August
Year:
2019
Address:
Florence, Italy
Venues:
ACL | ArgMining | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
104–112
Language:
URL:
https://aclanthology.org/W19-4513
DOI:
10.18653/v1/W19-4513
Bibkey:
Cite (ACL):
Timothy Niven and Hung-Yu Kao. 2019. Detecting Argumentative Discourse Acts with Linguistic Alignment. In Proceedings of the 6th Workshop on Argument Mining, pages 104–112, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
Detecting Argumentative Discourse Acts with Linguistic Alignment (Niven & Kao, 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/update-css-js/W19-4513.pdf
Code
 IKMLab/argalign1