INQUERY and TREC-8

Abstract

This year the Center for Intelligent Information Retrieval (CIIR) at the University of Massachusetts participated in seven of the tracks: ad-hoc, filtering, spoken document retrieval, small web, large web, question and answer, and the query tracks. We spent significant time working on the filtering track, resulting in substantial performance improvement over TREC-7. For all of the other tracks, we used essentially the same system as used in previous years. Although UMass used a wide rauge of tools, from Unix shell script, to PC spreadsheets, four major tools and techniques were applied across almost all tracks: the Inquery search engine, the InRoute filtering engine, query processing, and a query expansion technique known as Local Context Analysis (LCA).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA456320

Entities

People

  • Daniella Malin
  • Fang-fang Feng
  • James Allan
  • Jamie Callan

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Computer Science
  • Computers
  • Databases
  • Filtration
  • Information Retrieval
  • Language
  • Learning
  • Massachusetts
  • Natural Language Processing
  • Precision
  • Shell Scripts
  • United States
  • Universities

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Linguistics
  • Database Systems and Applications
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval