Analyzing the structure of argumentative discourse
Computational Linguistics
Reasoning with cases and hypotheticals in HYPO
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
CABARET: rule interpretation in a hybrid architecture
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
A maximum entropy approach to natural language processing
Computational Linguistics
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Visualizing argumentation: software tools for collaborative and educational sense-making
Visualizing argumentation: software tools for collaborative and educational sense-making
A Maximum-Entropy-Inspired Parser
A Maximum-Entropy-Inspired Parser
The rhetorical parsing of unrestricted texts: a surface-based approach
Computational Linguistics
Automatic legal text summarisation: experiments with summary structuring
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
Automatic detection of arguments in legal texts
Proceedings of the 11th international conference on Artificial intelligence and law
Elements of Argumentation
Altruism and agents: an argumentation based approach to designing agent decision mechanisms
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Study on the Structure of Argumentation in Case Law
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
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 in Artificial Intelligence
Argumentation in Artificial Intelligence
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
Enhancing sentiment extraction from text by means of arguments
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
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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Argumentation mining aims to automatically detect, classify and structure argumentation in text. Therefore, argumentation mining is an important part of a complete argumentation analyisis, i.e. understanding the content of serial arguments, their linguistic structure, the relationship between the preceding and following arguments, recognizing the underlying conceptual beliefs, and understanding within the comprehensive coherence of the specific topic. We present different methods to aid argumentation mining, starting with plain argumentation detection and moving forward to a more structural analysis of the detected argumentation. Different state-of-the-art techniques on machine learning and context free grammars are applied to solve the challenges of argumentation mining. We also highlight fundamental questions found during our research and analyse different issues for future research on argumentation mining.