CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expert Search

Abstract

In this paper, we described our method for the expert search task in TREC 2008. First, we proposed an adaption to the language modeling method for expert search, which considers the probability of query generation separately using each kind of expert evidence (full name, abbreviated name, and email address). Current expert search models can be easily integrated into our method. Our experiments indicated that our method can make use of the ambiguous evidence in expert search (abbreviated name), which often caused a drop in effects in other methods. Besides, we also used a probabilistic measure to detect phrase in query, but it did not make better effectiveness.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA512731

Entities

People

  • Haozhen Zhao
  • Jiepu Jiang
  • Wei Lu

Organizations

  • Wuhan University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Ambiguity
  • Demographic Cohorts
  • Detection
  • Electronic Mail
  • Frequency
  • Information Operations
  • Information Science
  • Language
  • Maximum Likelihood Estimation
  • Probability
  • Standards
  • Test And Evaluation
  • Universities

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Linguistics