Word Importance Discrimination using Context Information

Abstract

Word importance discrimination is a task deserving attention when one treats a topic from TREC where a topic is quite long. The goal of the process is to estimate importance of words which carry any (additional) information about user information needs. In our experiments we estimated word importance using context information of a word.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA513350

Entities

People

  • Danil Nemirovsky
  • Vladimir Dobrynin

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Clustering
  • Dictionaries
  • Discrimination
  • Filtration
  • Frequency
  • Information Operations
  • Instructions
  • Probability
  • Probability Distributions
  • Standards
  • Stemming

Fields of Study

  • Computer science

Readers

  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design