Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Little words can make a big difference for text classification
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Programming Perl (2nd ed.)
Finding legally relevant passages in case opinions
Proceedings of the 6th international conference on Artificial intelligence and law
Mastering regular expressions
Toward adding knowledge to learning algorithms for indexing legal cases
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
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
Automatic categorization of case law
Proceedings of the 8th international conference on Artificial intelligence and law
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Using Machine Learning for Assigning Indices to Textual Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
Reasoning symbolically about partially matched cases
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Automatically generating extraction patterns from untagged text
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Artificial Intelligence - Special issue on AI and law
Classification and clustering for case-based criminal summary judgments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Generating legal arguments and predictions from case texts
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Legal information retrieval and application to e-rulemaking
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Mapping regulations to industry-specific taxonomies
Proceedings of the 11th international conference on Artificial intelligence and law
Deep semantic interpretations of legal texts
Proceedings of the 11th international conference on Artificial intelligence and law
Artificial Intelligence and Law - Legal knowledge extraction and searching & legal ontology applications
Relating taxonomies with regulations
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Regulation retrieval using industry specific taxonomies
Artificial Intelligence and Law
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
Progress in textual case-based reasoning: predicting the outcome of legal cases from text
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
The Knowledge Engineering Review
Classifying criminal charges in chinese for web-based legal services
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Semantic Processing of Legal Texts
Semantic indexing of legal documents
Semantic Processing of Legal Texts
Towards automatic generation of catchphrases for legal case reports
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Legal documents categorization by compression
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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The prohibitive cost of assigning indices to textual cases is a major obstacle for the practical use of AI and Law systems supporting reasoning and arguing with cases. While progress has been made toward extracting certain facts from well-structured case texts or classifying case abstracts under Key Number concepts, these methods still do not suffice for the complexity of indexing concepts in CBR systems.In this paper, we lay out how a better example representation may facilitate classification-based indexing. Our hypotheses are that (1) abstracting from the individual actors and events in cases, (2) capturing actions in multi-word features, and (3) recognizing negation, can lead to a better representation of legal case texts for automatic indexing. We discuss how to implement these techniques with state-of-the-art NLP tools. Preliminary experimental results suggest that a combination of domain-specific knowledge and information extraction techniques can be used to generalize from the examples and derive more powerful features.