MultiText Legal Experiments at TREC 2008

Abstract

Our TREC 2008 effort used fusion IR methods identical to those used for our TREC 2007 effort; in addition we used logistic regression to attempt to learn the optimal K value for the primary F1@K measure introduced at TREC 2008. We used the Wumpus search engine combining several methods that have proven successful, including cover density ranking and Okapi BM25 ranking, and combination methods. Stepwise logistic regression was used to estimate K using TREC 2007 results as training data.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA512708

Entities

People

  • Gordon V. Cormack
  • Thomas R. Lynam

Organizations

  • University of Waterloo

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Character Recognition
  • Computer Science
  • Employment
  • Information Operations
  • Information Retrieval
  • Knowledge Management
  • Law
  • Learning
  • Optical Character Recognition
  • Organizational Structure
  • Personality
  • Recognition
  • Standards
  • Training
  • Transfer Functions

Readers

  • Information Retrieval
  • Regression Analysis.