@inproceedings{clayton-gaizauskas-2022-predicting,
title = "Predicting the Presence of Reasoning Markers in Argumentative Text",
author = "Clayton, Jonathan and
Gaizauskas, Rob",
editor = "Lapesa, Gabriella and
Schneider, Jodi and
Jo, Yohan and
Saha, Sougata",
booktitle = "Proceedings of the 9th Workshop on Argument Mining",
month = oct,
year = "2022",
address = "Online and in Gyeongju, Republic of Korea",
publisher = "International Conference on Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.argmining-1.13/",
pages = "137--142",
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."
}
Markdown (Informal)
[Predicting the Presence of Reasoning Markers in Argumentative Text](https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.argmining-1.13/) (Clayton & Gaizauskas, ArgMining 2022)
ACL