Toward Stance Classification Based on Claim Microstructures

Filip Boltužić, Jan Šnajder


Abstract
Claims are the building blocks of arguments and the reasons underpinning opinions, thus analyzing claims is important for both argumentation mining and opinion mining. We propose a framework for representing claims as microstructures, which express the beliefs, judgments, and policies about the relations between domain-specific concepts. In a proof-of-concept study, we manually build microstructures for over 800 claims extracted from an online debate. We test the so-obtained microstructures on the task of claim stance classification, achieving considerable improvements over text-based baselines.
Anthology ID:
W17-5210
Volume:
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venue:
WASSA
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
74–80
Language:
URL:
https://aclanthology.org/W17-5210
DOI:
10.18653/v1/W17-5210
Bibkey:
Cite (ACL):
Filip Boltužić and Jan Šnajder. 2017. Toward Stance Classification Based on Claim Microstructures. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 74–80, Copenhagen, Denmark. Association for Computational Linguistics.
Cite (Informal):
Toward Stance Classification Based on Claim Microstructures (Boltužić & Šnajder, WASSA 2017)
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PDF:
https://aclanthology.org/W17-5210.pdf