Abstract
This paper proposes a novel task in Argument Mining, which we will refer to as Reasoning Marker Prediction. We reuse the popular Persuasive Essays Corpus (Stab and Gurevych, 2014). Instead of using this corpus for Argument Structure Parsing, we use a simple heuristic method to identify text spans which we can identify as reasoning markers. We propose baseline methods for predicting the presence of these reasoning markers automatically, and make a script to generate the data for the task publicly available.- Anthology ID:
- 2022.argmining-1.13
- Volume:
- Proceedings of the 9th Workshop on Argument Mining
- Month:
- October
- Year:
- 2022
- Address:
- Online and in Gyeongju, Republic of Korea
- Editors:
- Gabriella Lapesa, Jodi Schneider, Yohan Jo, Sougata Saha
- Venue:
- ArgMining
- SIG:
- Publisher:
- International Conference on Computational Linguistics
- Note:
- Pages:
- 137–142
- Language:
- URL:
- https://aclanthology.org/2022.argmining-1.13
- DOI:
- Cite (ACL):
- Jonathan Clayton and Rob Gaizauskas. 2022. Predicting the Presence of Reasoning Markers in Argumentative Text. In Proceedings of the 9th Workshop on Argument Mining, pages 137–142, Online and in Gyeongju, Republic of Korea. International Conference on Computational Linguistics.
- Cite (Informal):
- Predicting the Presence of Reasoning Markers in Argumentative Text (Clayton & Gaizauskas, ArgMining 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2022.argmining-1.13.pdf