Argument Mining: A Machine Learning Perspective
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-28460-6_10
Reference46 articles.
1. Aharoni, E., Polnarov, A., Lavee, T., Hershcovich, D., Levy, R., Rinott, R., Gutfreund, D., Slonim, N.: A benchmark dataset for automatic detection of claims and evidence in the context of controversial topics. In: Proceedings of the First Workshop on Argumentation Mining, pp. 64–68. Association for Computational Linguistics (2014)
2. Ashley, K.D., Walker, V.R.: Toward constructing evidence-based legal arguments using legal decision documents and machine learning. In: Francesconi, E., Verheij, B. (eds.) ICAIL 2013, Rome, Italy, pp. 176–180. ACM (2013)
3. Bench-Capon, T.J.M., Dunne, P.E.: Argumentation in artificial intelligence. Artif. Intell. 171(10–15), 619–641 (2007)
4. Besnard, P., García, A.J., Hunter, A., Modgil, S., Prakken, H., Simari, G.R., Toni, F.: Introduction to structured argumentation. Argum. Comput. 5(1), 1–4 (2014)
5. Black, E., Hunter, A.: A relevance-theoretic framework for constructing and deconstructing enthymemes. J. Log. Comput. 22(1), 55–78 (2012)
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