Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus
R. El Baff, H. Wachsmuth, K. Al Khatib, B. Stein, in: Proceedings of the 22nd Conference on Computational Natural Language Learning, Association for Computational Linguistics, 2018, pp. 454–464.
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Author
El Baff, Roxanne;
Wachsmuth, HenningLibreCat;
Al Khatib, Khalid;
Stein, Benno
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Proceedings Title
Proceedings of the 22nd Conference on Computational Natural Language Learning
Page
454-464
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El Baff R, Wachsmuth H, Al Khatib K, Stein B. Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In: Proceedings of the 22nd Conference on Computational Natural Language Learning. Association for Computational Linguistics; 2018:454-464.
El Baff, R., Wachsmuth, H., Al Khatib, K., & Stein, B. (2018). Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus. In Proceedings of the 22nd Conference on Computational Natural Language Learning (pp. 454–464). Association for Computational Linguistics.
@inproceedings{El Baff_Wachsmuth_Al Khatib_Stein_2018, title={Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus}, booktitle={Proceedings of the 22nd Conference on Computational Natural Language Learning}, publisher={Association for Computational Linguistics}, author={El Baff, Roxanne and Wachsmuth, Henning and Al Khatib, Khalid and Stein, Benno}, year={2018}, pages={454–464} }
El Baff, Roxanne, Henning Wachsmuth, Khalid Al Khatib, and Benno Stein. “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.” In Proceedings of the 22nd Conference on Computational Natural Language Learning, 454–64. Association for Computational Linguistics, 2018.
R. El Baff, H. Wachsmuth, K. Al Khatib, and B. Stein, “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus,” in Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018, pp. 454–464.
El Baff, Roxanne, et al. “Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus.” Proceedings of the 22nd Conference on Computational Natural Language Learning, Association for Computational Linguistics, 2018, pp. 454–64.
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