A Review Corpus for Argumentation Analysis

H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, T. Palakarska, in: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.

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Conference Paper | English
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Wachsmuth, HenningLibreCat; Trenkmann, Martin; Stein, Benno; Engels, GregorLibreCat; Palakarska, Tsvetomira
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Proceedings Title
Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics
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115–127
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Wachsmuth H, Trenkmann M, Stein B, Engels G, Palakarska T. A Review Corpus for Argumentation Analysis. In: Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics. ; 2014:115–127.
Wachsmuth, H., Trenkmann, M., Stein, B., Engels, G., & Palakarska, T. (2014). A Review Corpus for Argumentation Analysis. In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics (pp. 115–127).
@inproceedings{Wachsmuth_Trenkmann_Stein_Engels_Palakarska_2014, title={A Review Corpus for Argumentation Analysis}, booktitle={Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics}, author={Wachsmuth, Henning and Trenkmann, Martin and Stein, Benno and Engels, Gregor and Palakarska, Tsvetomira}, year={2014}, pages={115–127} }
Wachsmuth, Henning, Martin Trenkmann, Benno Stein, Gregor Engels, and Tsvetomira Palakarska. “A Review Corpus for Argumentation Analysis.” In Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 115–127, 2014.
H. Wachsmuth, M. Trenkmann, B. Stein, G. Engels, and T. Palakarska, “A Review Corpus for Argumentation Analysis,” in Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.
Wachsmuth, Henning, et al. “A Review Corpus for Argumentation Analysis.” Proceedings of the 15th International Conference on Intelligent Text Processing and Computational Linguistics, 2014, pp. 115–127.

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