Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
A maximum entropy approach to natural language processing
Computational Linguistics
The Theory and Practice of Discourse Parsing and Summarization
The Theory and Practice of Discourse Parsing and Summarization
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Understanding Natural Language
Understanding Natural Language
A Maximum-Entropy-Inspired Parser
A Maximum-Entropy-Inspired Parser
Argumentation schemes and generalisations in reasoning about evidence
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Interpreting semi-formal utterances in dialogs about mathematical proofs
Data & Knowledge Engineering - Special issue: Application of natural language to information systems (NLDB04)
Generating legal arguments and predictions from case texts
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Automatic legal text summarisation: experiments with summary structuring
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Argumentation Methods for Artificial Intelligence in Law
Argumentation Methods for Artificial Intelligence in Law
Automatic Argumentation Detection and its Role in Law and the Semantic Web
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Study on Sentence Relations in the Automatic Detection of Argumentation in Legal Cases
Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
Argumentation mining: the detection, classification and structure of arguments in text
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
Artificial Intelligence and Law
Classifying arguments by scheme
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A corpus of Australian contract language: description, profiling and analysis
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Legal language and legal knowledge management applications
Semantic Processing of Legal Texts
Approaches to text mining arguments from legal cases
Semantic Processing of Legal Texts
A Two-Phase Framework for Learning Logical Structures of Paragraphs in Legal Articles
ACM Transactions on Asian Language Information Processing (TALIP)
Using Argumentation Schemes for Argument Extraction: A Bottom-Up Method
International Journal of Cognitive Informatics and Natural Intelligence
Using Argumentation Schemes for Argument Extraction: A Bottom-Up Method
International Journal of Cognitive Informatics and Natural Intelligence
Legal documents categorization by compression
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
Experiments in automated support for argument reconstruction
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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This paper provides the results of experiments on the detection of arguments in texts among which are legal texts. The detection is seen as a classification problem. A classifier is trained on a set of annotated arguments. Different feature sets are evaluated involving lexical, syntactic, semantic and discourse properties of the texts. The experiments are a first step in the context of automatically classifying arguments in legal texts according to their rhetorical type and their visualization for convenient access and search.