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Autor:
Daxenberger, Johannes; Habernal, Ivan; Stab, Christian; Gurevych, Iryna:

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

Quelle:
In: Association for Computational Linguistics (Hrsg.): The Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) Stroudsburg, PA : Association for Computational Linguistics (2017) , 2045-2056

URL des Volltextes:
http://www.aclweb.org/anthology/D/D17/D17-1217.pdf

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings

Schlagwörter:
Argumentation, Computerlinguistik, Data Mining, Qualitative Forschung, Sprachanalyse, Text, Textanalyse


Abstract(original):
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.)


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last modified Nov 11, 2016