Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Automatic text processing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic combination of multiple ranked retrieval systems
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
Document classification using multiword features
Proceedings of the seventh international conference on Information and knowledge management
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Robust Parameter Estimation in Computer Vision
SIAM Review
Proceedings of the ninth international conference on Information and knowledge management
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
Probabilistic combination of text classifiers using reliability indicators: models and results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
The Combination of Text Classifiers Using Reliability Indicators
Information Retrieval
Journal of Systems Architecture: the EUROMICRO Journal
Effective document clustering for large heterogeneous law firm collections
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
A lawyer directory service using legal documents and profile information as support
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Generating Value from Textual Discovery
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times
Legal document clustering with built-in topic segmentation
Proceedings of the 20th ACM international conference on Information and knowledge management
A fast subspace text categorization method using parallel classifiers
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
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A major problem facing online information services is how to index and supplement large document collections with respect to a rich set of categories. We focus upon the routing of case law summaries to various secondary law volumes in which they should be cited. Given the large number ( 13,000) of closely related categories, this is a challenging task that is unlikely to succumb to a single algorithmic solution. Our fully implemented and recently deployed system shows that a superior classification engine for this task can be constructed from a combination of classifiers. The multi-classifier approach helps us leverage all the relevant textual features and meta data, and appears to generalize to related classification tasks.