Communications of the ACM - Special issue on parallelism
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Instance-Based Learning Algorithms
Machine Learning
Inference networks for document retrieval
Inference networks for document retrieval
Trading MIPS and memory for knowledge engineering
Communications of the ACM
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Combining classifiers in text categorization
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
CONSTRUE/TIS: A System for Content-Based Indexing of a Database of News Stories
IAAI '90 Proceedings of the The Second Conference on Innovative Applications of Artificial Intelligence
Feature selection and feature extraction for text categorization
HLT '91 Proceedings of the workshop on Speech and Natural Language
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This paper describes a Memory-Based Reasoning application that generates candidate classifications to aid editors in allocating abstracts of judicial opinions among the 82,000 classes of a legal classi fication scheme. Using a training collection of more than 20 million previously classified abstracts, the application provides ranked lists of candidate classifications for new abstracts. These lists proved to contain highly relevant classes and integrating this application into the editorial environment should materially improve the efficiency of the work of classifying the new abstracts.