Stab, Christian ; Gurevych, Iryna (2016)
Recognizing the Absence of Opposing Arguments in Persuasive Essays.
Berlin, Germany
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we introduce an approach for recognizing the absence of opposing arguments in persuasive essays. We model this task as a binary document classification and show that adversative transitions in combination with unigrams and syntactic production rules significantly outperform a challenging heuristic baseline. Our approach yields an accuracy of 75.6% and 84% of human performance in a persuasive essay corpus with various topics.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Stab, Christian ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Recognizing the Absence of Opposing Arguments in Persuasive Essays |
| Sprache: | Englisch |
| Publikationsjahr: | August 2016 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Proceedings of the 3rd Workshop on Argument Mining held in conjunction with the 2016 Annual Meeting of the Association for Computational Linguistics (ACL 2016) |
| Veranstaltungsort: | Berlin, Germany |
| URL / URN: | http://www.aclweb.org/anthology/W16-2813 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | In this paper, we introduce an approach for recognizing the absence of opposing arguments in persuasive essays. We model this task as a binary document classification and show that adversative transitions in combination with unigrams and syntactic production rules significantly outperform a challenging heuristic baseline. Our approach yields an accuracy of 75.6% and 84% of human performance in a persuasive essay corpus with various topics. |
| Freie Schlagworte: | UKP_a_ArMin;UKP_reviewed |
| ID-Nummer: | TUD-CS-2016-0137 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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