A News Editorial Corpus for Mining Argumentation Strategies
K. Al Khatib, H. Wachsmuth, J. Kiesel, M. Hagen, B. Stein, in: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–3443.
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Konferenzbeitrag
| Englisch
Autor*in
Al Khatib, Khalid;
Wachsmuth, HenningLibreCat;
Kiesel, Johannes;
Hagen, Matthias;
Stein, Benno
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Titel des Konferenzbandes
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Seite
3433-3443
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Al Khatib K, Wachsmuth H, Kiesel J, Hagen M, Stein B. A News Editorial Corpus for Mining Argumentation Strategies. In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers. ; 2016:3433-3443.
Al Khatib, K., Wachsmuth, H., Kiesel, J., Hagen, M., & Stein, B. (2016). A News Editorial Corpus for Mining Argumentation Strategies. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers (pp. 3433–3443).
@inproceedings{Al Khatib_Wachsmuth_Kiesel_Hagen_Stein_2016, title={A News Editorial Corpus for Mining Argumentation Strategies}, booktitle={Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers}, author={Al Khatib, Khalid and Wachsmuth, Henning and Kiesel, Johannes and Hagen, Matthias and Stein, Benno}, year={2016}, pages={3433–3443} }
Al Khatib, Khalid, Henning Wachsmuth, Johannes Kiesel, Matthias Hagen, and Benno Stein. “A News Editorial Corpus for Mining Argumentation Strategies.” In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 3433–43, 2016.
K. Al Khatib, H. Wachsmuth, J. Kiesel, M. Hagen, and B. Stein, “A News Editorial Corpus for Mining Argumentation Strategies,” in Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–3443.
Al Khatib, Khalid, et al. “A News Editorial Corpus for Mining Argumentation Strategies.” Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, 2016, pp. 3433–43.
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