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Symbolic and Connectionist Approach To Legal Information Retrieval.

Author: Daniel E Rose
Publisher: Taylor & Francis, 2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Many existing information retrieval (IR) systems are surprisingly ineffective at finding documents relevant to particular topics. Traditional systems are extremely brittle, failing to retrieve relevant documents unless the user's exact search string is found. They support only the most primitive trial-and-error interaction with their users and are also static. Even systems with so-called ""relevance feedback"" are  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Daniel E Rose
ISBN: 1299695590 9781299695597 9781134780013 113478001X
OCLC Number: 851156477
Description: 1 online resource
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.

Abstract:

Many existing information retrieval (IR) systems are surprisingly ineffective at finding documents relevant to particular topics. Traditional systems are extremely brittle, failing to retrieve relevant documents unless the user's exact search string is found. They support only the most primitive trial-and-error interaction with their users and are also static. Even systems with so-called ""relevance feedback"" are incapable of learning from experience with users. SCALIR (a Symbolic and Connectionist Approach to Legal Information Retrieval) -- a system for assisting research on copyright law.

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