Stab, Christian ; Gurevych, Iryna
Hrsg.: Moschitti, Alessandro ; Pang, Bo ; Daelemans, Walter (2014)
Identifying Argumentative Discourse Structures in Persuasive Essays.
Doha, Qatar
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. The structure of argumentation consists of several components (i.e. claims and premises) that are connected with argumentative relations. We consider this task in two consecutive steps. First, we identify the components of arguments using multiclass classification. Second, we classify a pair of argument components as either support or non-support for identifying the structure of argumentative discourse. For both tasks, we evaluate several classifiers and propose novel feature sets including structural, lexical, syntactic and contextual features. In our experiments, we obtain a macro F1-score of 0.726 for identifying argument components and 0.722 for argumentative relations.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Herausgeber: | Moschitti, Alessandro ; Pang, Bo ; Daelemans, Walter |
| Autor(en): | Stab, Christian ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Identifying Argumentative Discourse Structures in Persuasive Essays |
| Sprache: | Englisch |
| Publikationsjahr: | Oktober 2014 |
| Verlag: | Association for Computational Linguistics |
| Buchtitel: | Conference on Empirical Methods in Natural Language Processing (EMNLP 2014) |
| Veranstaltungsort: | Doha, Qatar |
| URL / URN: | http://www.aclweb.org/anthology/D14-1006 |
| Kurzbeschreibung (Abstract): | In this paper, we present a novel approach for identifying argumentative discourse structures in persuasive essays. The structure of argumentation consists of several components (i.e. claims and premises) that are connected with argumentative relations. We consider this task in two consecutive steps. First, we identify the components of arguments using multiclass classification. Second, we classify a pair of argument components as either support or non-support for identifying the structure of argumentative discourse. For both tasks, we evaluate several classifiers and propose novel feature sets including structural, lexical, syntactic and contextual features. In our experiments, we obtain a macro F1-score of 0.726 for identifying argument components and 0.722 for argumentative relations. |
| Freie Schlagworte: | UKP_reviewed;UKP_p_WIKULU;UKP_p_WIWEB;UKP_p_DKPro;UKP_s_DKPro_Core;UKP_s_DKPro_Lab;UKP_a_ArMin |
| ID-Nummer: | TUD-CS-2014-0882 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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