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 (2014)
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. pp. 3433-3443 (2016)
Annesi, P., Croce, D., Basili, R.: Towards compositional tree kernels. In: Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora. pp. 15-23 (2013)
Annesi, P., Croce, D., Basili, R.: Semantic compositionality in tree kernels. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. pp. 1029-1038. ACM (2014)
Collins, M., Duffy, N.: Convolution kernels for natural language. In: Advances in neural information processing systems. pp. 625-632 (2002)
Croce, D., Moschitti, A., Basili, R.: Semantic convolution kernels over dependency trees: smoothed partial tree kernel. In: Proceedings of the 20th ACM international conference on Information and knowledge management. pp. 2013-2016. ACM (2011)
Croce, D., Moschitti, A., Basili, R.: Structured lexical similarity via convolution kernels on dependency trees. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. pp. 1034-1046. Association for Computational Linguistics (2011)
Filice, S., Castellucci, G., Croce, D., Basili, R.: Kelp: a kernel-based learning platform for natural language processing. Proceedings of ACL-IJCNLP 2015 System Demonstrations pp. 19-24 (2015)
Lawrence, J., Visser, J., Reed, C.: An online annotation assistant for argument schemes. In: Proceedings of the 13th Linguistic Annotation Workshop. pp. 100-107. Association for Computational Linguistics (2019)
Liga, D.: Argumentative evidences classification and argument scheme detection using tree kernels. In: Proceedings of the 6th Workshop on Argument Mining. pp. 92-97 (2019)
Liga, D., Palmirani, M.: Detecting “slippery slope” and other argumentative stances of opposition using tree kernels in monologic discourse. In: Rules and Reasoning. Third International Joint Conference, RuleML+RR 2019 (2019)
Lippi, M., Pałka, P., Contissa, G., Lagioia, F., Micklitz, H.W., Sartor, G., Torroni, P.: Claudette: an automated detector of potentially unfair clauses in online terms of service. Artificial Intelligence and Law pp. 1-23 (2018)
Lippi, M., Torroni, P.: Context-independent claim detection for argument mining. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)
Lippi, M., Torroni, P.: Margot: A web server for argumentation mining. Expert Systems with Applications 65, 292-303 (2016)
Mayer, T., Cabrio, E., Lippi, M., Torroni, P., Villata, S.: Argument mining on clinical trials. Computational Models of Argument: Proceedings of COMMA 2018 305, 137 (2018)
Moschitti, A.: Efficient convolution kernels for dependency and constituent syntactic trees. In: European Conference on Machine Learning. pp. 318-329. Springer (2006)
Rooney, N., Wang, H., Browne, F.: Applying kernel methods to argumentation mining. In: Twenty-Fifth International FLAIRS Conference (2012)
Vishwanathan, S., Smola, A.J., et al.: Fast kernels for string and tree matching. Kernel methods in computational biology 15, 113-130 (2004)