Retrieval Using Plausible Inference.

Abstract

Retrieval is a crucial function in information systems, but the algorithms used in many systems are not effective in locating the required information. For example, text-based systems are an important class of information system where both the query specification and the stored information will be incomplete and uncertain. In this situation, simple models of retrieval based on deductive inference are not adequate. We have proposed a new computational framework that views retrieval as a process of combining multiple sources of evidence, and have carried out a number of experiments in the domain of text retrieval. The experiments show that significant retrieval effectiveness improvements are possible. We have also made progress in the area of text representation using natural language processing, which provides additional evidence for the retrieval model.

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Document Details

Document Type
Technical Report
Publication Date
Apr 04, 1991
Accession Number
ADA235015

Entities

People

  • W. Bruce Croft

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Bayesian Inference
  • Bayesian Networks
  • Clustering
  • Databases
  • Index Terms
  • Information Retrieval
  • Information Science
  • Information Systems
  • Language
  • Models
  • Natural Language Processing
  • Natural Languages
  • Probabilistic Models
  • Probability

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Educational Psychology

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval