EDU-AP: Elementary Discourse Unit based Argument Parser

Sougata Saha, Souvik Das, Rohini Srihari


Abstract
Neural approaches to end-to-end argument mining (AM) are often formulated as dependency parsing (DP), which relies on token-level sequence labeling and intricate post-processing for extracting argumentative structures from text. Although such methods yield reasonable results, operating solely with tokens increases the possibility of discontinuous and overly segmented structures due to minor inconsistencies in token level predictions. In this paper, we propose EDU-AP, an end-to-end argument parser, that alleviates such problems in dependency-based methods by exploiting the intrinsic relationship between elementary discourse units (EDUs) and argumentative discourse units (ADUs) and operates at both token and EDU level granularity. Further, appropriately using contextual information, along with optimizing a novel objective function during training, EDU-AP achieves significant improvements across all four tasks of AM compared to existing dependency-based methods.
Anthology ID:
2022.sigdial-1.19
Volume:
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
September
Year:
2022
Address:
Edinburgh, UK
Editors:
Oliver Lemon, Dilek Hakkani-Tur, Junyi Jessy Li, Arash Ashrafzadeh, Daniel Hernández Garcia, Malihe Alikhani, David Vandyke, Ondřej Dušek
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
183–192
Language:
URL:
https://aclanthology.org/2022.sigdial-1.19
DOI:
10.18653/v1/2022.sigdial-1.19
Bibkey:
Cite (ACL):
Sougata Saha, Souvik Das, and Rohini Srihari. 2022. EDU-AP: Elementary Discourse Unit based Argument Parser. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 183–192, Edinburgh, UK. Association for Computational Linguistics.
Cite (Informal):
EDU-AP: Elementary Discourse Unit based Argument Parser (Saha et al., SIGDIAL 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.sigdial-1.19.pdf
Video:
 https://youtu.be/4T_oMl8rAcE
Code
 sougata-ub/edu-ap