A connectionist approach to conceptual information retrieval
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
A computer graphics rendering algorithm for use on a SIMD machine
Proceedings of the 1st International Conference on Supercomputing
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Hypertext and hypermedia
Argument moves in a rule-guided domain
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
A self-organizing semantic map for information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Neural networks and open texture
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
An evaluation of query processing strategies using the TIPSTER collection
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A symbolic and connectionist approach to legal information retrieval
A symbolic and connectionist approach to legal information retrieval
Natural language vs. Boolean query evaluation: a comparison of retrieval performance
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Information filtering: the computation of similarities in large corpora of legal texts
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Exploration of text collections with hierarchical feature maps
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Self-organizing maps
Finding legally relevant passages in case opinions
Proceedings of the 6th international conference on Artificial intelligence and law
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
Information forage through adaptive visualization
Proceedings of the third ACM conference on Digital libraries
Semantic search and semantic categorization (abstracts)
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Legal Knowledge Representation: Automatic Text Analysis in Public International and European Law
Legal Knowledge Representation: Automatic Text Analysis in Public International and European Law
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
A Hands-On Look at Java Mobile Agents
IEEE Internet Computing
CONCAT - Connotation Analysis of Thesauri Based on the Interpretation of Context Meaning
DEXA '94 Proceedings of the 5th International Conference on Database and Expert Systems Applications
Integrating IR and CBR to locate relevant texts and passages
DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
Automatic text representation, classification and labeling in European law
Proceedings of the 8th international conference on Artificial intelligence and law
On original generation of structure in legal documents
ICAIL '03 Proceedings of the 9th 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
Semantic Processing of Legal Texts
Hi-index | 0.01 |
More and more law is available freely on the Internet. The growing complexity of legal rules and the necessary adaptation to user needs requires better instruments than manual browsing and searching interfaces of the past. Information reconnaissance of an unknown text corpus would provide a major help. Our research on neural networks concerns adaptive learning techniques for information reconnaissance in legal document archives. Self-organising maps offer besides successful classification a promising tool for this purpose. The neural processing elements can be labeled with the most appropriate keywords to describe the contents of the documents. Applying the tools of refinement, our novel approach describes the most interesting features of the document. The user can choose properly between the various units in order to refine the next step of research. An integration of this tool of information reconnaissance into an intelligent agent is straightforward and will bring much benefit in a practical application.