Towards Detecting Counter-considerations in Text

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Abstract

Argumentation mining obviously involves finding support relations between statements, but many interesting instances of argumentation also contain counter-considerations, which the author mentions in order to preempt possible objections by the readers. A counter-consideration in monologue text thus involves a switch of perspective toward an imaginary opponent. We present a classification approach to classifying counter-considerations and apply it to two different corpora: a selection of very short argumentative texts produced in a text generation experiment, and a set of newspaper commentaries. As expected, the latter pose more difficulties, which we investigate in a brief error anaylsis.

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APA

Peldszus, A., & Stede, M. (2015). Towards Detecting Counter-considerations in Text. In 2nd Workshop on Argumentation Mining, ArgMining 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings (pp. 104–109). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/w15-0513

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