Intelligent high-volume text processing using shallow, domain-specific techniques
Text-based intelligent systems
Classifying news stories using memory based reasoning
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Trading MIPS and memory for knowledge engineering
Communications of the ACM
Representation and learning in information retrieval
Representation and learning in information retrieval
C4.5: programs for machine learning
C4.5: programs for machine learning
An application of least squares fit mapping to text information retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Towards language independent automated learning of text categorization models
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Using genetic algorithms to inductively reason with cases in the legal domain
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Context-sensitive learning methods for text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A statistical learning approach to automatic indexing of controlled index terms
Journal of the American Society for Information Science
Finding legally relevant passages in case opinions
Proceedings of the 6th 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
Context-sensitive learning methods for text categorization
ACM Transactions on Information Systems (TOIS)
Automatic Indexing: An Experimental Inquiry
Journal of the ACM (JACM)
Toward adding knowledge to learning algorithms for indexing legal cases
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Information Retrieval
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An automated system that assists in the generation of document indexes
Natural Language Engineering
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Feature selection: a useful preprocessing step
IRSG'97 Proceedings of the 19th Annual BCS-IRSG conference on Information Retrieval Research
Improving the representation of legal case texts with information extraction methods
Proceedings of the 8th international conference on Artificial intelligence and law
First steps in building a model for the retrieval of court decisions
International Journal of Human-Computer Studies
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
Classification and clustering for case-based criminal summary judgments
ICAIL '03 Proceedings of the 9th 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
Is linguistic information relevant for the classification of legal texts?
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Information Processing and Management: an International Journal
Using GHSOM to construct legal maps for Taiwan's securities and futures markets
Expert Systems with Applications: An International Journal
Relating taxonomies with regulations
dg.o '08 Proceedings of the 2008 international conference on Digital government research
A hidden Markov model-based text classification of medical documents
Journal of Information Science
Regulation retrieval using industry specific taxonomies
Artificial Intelligence and Law
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
Artificial Intelligence and Law
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
Exploring phrase-based classification of judicial documents for criminal charges in chinese
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Semantic Processing of Legal Texts
Knowledge acquisition for categorization of legal case reports
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Legal documents categorization by compression
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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This paper describes a series of automatic text categorization experiments with case law documents. Cases are categorized into 40 broad, high-level categories. These results are compared to an existing operational process using Boolean queries manually constructed by domain experts. In this categorization process recall is considered more important than precision. This paper investigates three algorithms that potentially could automate this categorization process: 1) a nearest neighbor-like algorithm, 2) C4.5rules, a machine learning decision tree algorithm; and 3) Ripper, a machine learning rule induction algorithm. The results obtained by Ripper surpass those of the operational process.