Attention, intentions, and the structure of discourse
Computational Linguistics
An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Conceptual organization of case law knowledge bases
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Representation of legal text for conceptual retrieval
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Automated discourse generation using discourse structure relations
Artificial Intelligence - Special volume on natural language processing
A problem for RST: the need for multi-level discourse analysis
Computational Linguistics
Case-based reasoning
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
The split-up system: integrating neural networks and rule-based reasoning in the legal domain
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Finding factors: learning to classify case opinions under abstract fact categories
Proceedings of the 6th international conference on Artificial intelligence and law
Automatic text structuring and categorization as a first step in summarizing legal cases
Information Processing and Management: an International Journal
Journal of the American Society for Information Science
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Toward adding knowledge to learning algorithms for indexing legal cases
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Intelligent jurisprudence research: a new concept
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Information extraction from legal texts: the potential of discourse analysis
International Journal of Human-Computer Studies - Model—based legal knowledge engineering
Automatic categorization of case law
Proceedings of the 8th international conference on Artificial intelligence and law
XIRQL: a query language for information retrieval in XML documents
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Generic topic segmentation of document texts
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
Planning text for advisory dialogues: capturing intentional and rhetorical information
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Concept extraction from legal cases: the use of a statistic of coincidence
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Automatic summarisation of legal documents
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Summarising legal texts: sentential tense and argumentative roles
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Extractive summarisation of legal texts
Artificial Intelligence and Law - AI & law in eGovernment and eDemocracy part I
Concept and Context in Legal Information Retrieval
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Combining relations for information extraction from free text
ACM Transactions on Information Systems (TOIS)
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The MOSAIC project investigates a retrieval model for court decisions based on structured and unstructured (natural language) information in legal cases. This paper focuses on how relevant information in court decisions can function as a key for retrieval and on the automated construction of case representations. Techniques of automated concept learning and rhetorical structure identification are among the most promising ones.