What is the essence of a claim? Cross-domain claim identification.

Autor/inn/en	Daxenberger, Johannes; Habernal, Ivan; Stab, Christian; Gurevych, Iryna
Institution	Association for Computational Linguistics
Titel	What is the essence of a claim? Cross-domain claim identification.
Quelle	Aus: The Conference on Empirical Methods in Natural Language Processing (EMNLP 2017): Proceedings of the conference, September 9-11, 2017, Copenhagen, Denmark. Stroudsburg, PA: Association for Computational Linguistics (2017) S. 2045-2056 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Sammelwerksbeitrag
Schlagwörter	Qualitative Forschung; Argumentation; Sprachanalyse; Text; Textanalyse; Computerlinguistik
Abstract	Argument mining has become a popular research area in NLP. It typically includes the identification of argumentative components, e.g. claims, as the central component of an argument. We perform a qualitative analysis across six different datasets and show that these appear to conceptualize claims quite differently. To learn about the consequences of such different conceptualizations of claim for practical applications, we carried out extensive experiments using state-of-the-art feature-rich and deep learning systems, to identify claims in a cross-domain fashion. While the divergent conceptualization of claims in different datasets is indeed harmful to cross-domain classification, we show that there are shared properties on the lexical level as well as system configurations that can help to overcome these gaps. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2023/1