Accession Number:

ADA512731

Title:

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

Descriptive Note:

Conference paper

Corporate Author:

WUHAN UNIV (CHINA) SCHOOL OF ELECTRONIC INFORMATION

Personal Author(s):

Report Date:

2008-11-01

Pagination or Media Count:

8.0

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.

Subject Categories:

  • Linguistics
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE