What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation
I. Habernal, I. Gurevych, in: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2016.
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Habernal, IvanLibreCat;
Gurevych, Iryna
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Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
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Habernal I, Gurevych I. What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. In: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2016. doi:10.18653/v1/d16-1129
Habernal, I., & Gurevych, I. (2016). What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/d16-1129
@inproceedings{Habernal_Gurevych_2016, title={What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation}, DOI={10.18653/v1/d16-1129}, booktitle={Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing}, publisher={Association for Computational Linguistics}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016} }
Habernal, Ivan, and Iryna Gurevych. “What Makes a Convincing Argument? Empirical Analysis and Detecting Attributes of Convincingness in Web Argumentation.” In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2016. https://doi.org/10.18653/v1/d16-1129.
I. Habernal and I. Gurevych, “What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentation,” 2016, doi: 10.18653/v1/d16-1129.
Habernal, Ivan, and Iryna Gurevych. “What Makes a Convincing Argument? Empirical Analysis and Detecting Attributes of Convincingness in Web Argumentation.” Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2016, doi:10.18653/v1/d16-1129.
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