The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Argumentation mining: the detection, classification and structure of arguments in text
Open accessAbstract
Argumentation is the process by which arguments are constructed and handled. Argumentation constitutes a major component of human intelligence. The ability to engage in argumentation is essential for humans to understand new problems, to perform scientific reasoning, to express, to clarify and to defend their opinions in their daily lives. Argumentation mining aims to detect the arguments presented in a text document, the relations between them and the internal structure of each individual argument. In this paper we analyse the main research questions when dealing with argumentation mining and the different methods we have studied and developed in order to successfully confront the challenges of argumentation mining in legal texts.
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Cited by
SemEval-2018 Task 1: Affect in Tweets
Mohammad, S., Bravo-Marquez, F., Salameh, M., & Kiritchenko, S. (2018) · Proceedings of The 12th International Workshop on Semantic Evaluation · doi:10.18653/v1/s18-1001 · Cited by 746
Lawrence, J., & Reed, C. (2020) · Computational Linguistics · doi:10.1162/coli_a_00364 · Cited by 396
Identifying Argumentative Discourse Structures in Persuasive Essays
Stab, C., & Gurevych, I. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1006 · Cited by 363
Legal requirements on explainability in machine learning
Bibal, A., Lognoul, M., de Streel, A., & Frénay, B. (2021) · Artificial Intelligence and Law · doi:10.1007/s10506-020-09270-4 · Cited by 165
Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims
Chen, S., Khashabi, D., Yin, W., Callison-Burch, C., & Roth, D. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1053 · Cited by 104
Metadata
- Authors
- Palau, R. M., & Moens, M.-F.
- Venue
- Proceedings of the 12th International Conference on Artificial Intelligence and Law
- Publisher
- ACM
- Published
- 2009-06-08
- Pages
- 98-107
- OpenAlex
- W2144232471
- Cited by
- 316
- References
- 23
- FWCI
- 75.33
- Type
- conference paper
- Language
- en
- Open access
- green
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- Palau, R. M., & Moens, M.-F. (2009). Argumentation mining: the detection, classification and structure of arguments in text. Proceedings of the 12th International Conference on Artificial Intelligence and Law. https://doi.org/10.1145/1568234.1568246
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