UMass at TREC 2002: Cross Language and Novelty Tracks

Abstract

The University of Massachusetts participated in the cross-language and novelty tracks this year. The cross-language submission was characterized by combination of evidence to merge results from two different retrieval engines and a variety of different resources - stemmers, dictionaries, machine translation, and an acronym database. We found that proper names were extremely important in this year's queries. For the novelty track, we applied variants of techniques that have been employed for other problems. In addition, we created additional training data by manually annotating 48 additional topics.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA460055

Entities

People

  • Alvaro Bolivar
  • Courtney Wade
  • James Allan
  • Leah S. Larkey
  • Margaret E. Connell

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Science
  • Dictionaries
  • Information Retrieval
  • Language
  • Materials
  • Personality
  • Precision
  • Probability
  • Probability Distributions
  • Standards
  • Statistics
  • Stemming
  • Test And Evaluation
  • Training
  • Translations

Readers

  • Computational Linguistics
  • Information Retrieval

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation