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A symbolic and connectionist approach to legal information retrieval

Author: Daniel E Rose
Publisher: Hillsdale, N.J. : Lawrence Erlbaum Associates, 1994.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:

This text examines the field of artificial intelligence and law. Many systems are ineffective at finding documents relevant to particular topics. (SCALIR) Symbolic and Connectionist Approach to Legal  Read more...

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Rose, Daniel E.
Symbolic and connectionist approach to legal information retrieval.
Hillsdale, N.J. : Lawrence Erlbaum Associates, 1994
(DLC) 93038963
(OCoLC)29361203
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Daniel E Rose
ISBN: 9781134779949 1134779941
OCLC Number: 852159173
Notes: Originally presented as the author's thesis (doctoral--University of California, San Diego, 1991).
Description: 1 online resource (xvi, 314 pages) : illustrations
Contents: Contents: Preface. Introduction. Humans, Computers, and Finding Information. Knowledge Representation, Meaning, and Text in AI. Approaches to Information Retrieval. Some Perspectives on the Law and Legal Research. Hybrid Vigor. The Structure of SCALIR. The Retrieval Process. Feedback and Learning. Interacting With SCALIR. Performance Evaluation. Discussion.
Responsibility: Daniel E. Rose.
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