Experiments with the Negotiated Boolean Queries of the TREC 2009 Legal Track

Abstract

For our participation in the Batch Task of the TREC 2009 Legal Track, we produced several retrieval sets to compare experimental Boolean, vector, fusion and relevance feedback techniques for e-Discovery requests. In this paper, we have reported not just the mean scores of the experimental approaches but also the largest per-topic impacts of the techniques for several measures. The experimental automatic relevance feedback technique was found to attain a statistically significant gain over the reference Boolean result in both the mean Precision@B and F1@K measures.

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Document Details

Document Type
Technical Report
Publication Date
Feb 02, 2010
Accession Number
ADA517742

Entities

People

  • Stephen Tomlinson

Organizations

  • Open Text Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Corporations
  • Feedback
  • Frequency
  • Information Processing
  • Judgment
  • Language
  • Law
  • Malfunctions
  • Metadata
  • Natural Languages
  • Personality
  • Precision
  • Standards
  • Trademarks
  • Training
  • United States

Fields of Study

  • Computer science

Readers

  • Information Retrieval
  • Mathematics or Statistics
  • Systems Analysis and Design