Author:
Hajjem Malek,Cossu Jean Valére,Latiri Chiraz,SanJuan Eric
Publisher
Springer International Publishing
Reference17 articles.
1. Aker, A., et al.: What works and what does not: classifier and feature analysis for argument mining. In: Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, pp. 91–96. Association for Computational Linguistics (2017)
2. Lecture Notes in Computer Science;E Amigó,2013
3. Bal, B.K., Dizier, P.S.: Towards building annotated resources for analyzing opinions and argumentation in news editorials. In: Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010). European Language Resources Association (ELRA), Valletta, Malta, May 2010
4. Bosc, T., Cabrio, E., Villata, S.: DART: a dataset of arguments and their relations on Twitter. In: European Language Resources Association (ELRA) (2016)
5. Dusmanu, M., Cabrio, E., Villata, S.: Argument mining on Twitter: arguments, facts and sources. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, pp. 2317–2322. Association for Computational Linguistics (2017)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献