Accession Number:

ADA517704

Title:

BUPT at TREC 2009: Entity Track

Descriptive Note:

Conference paper

Corporate Author:

BEIJING UNIV OF POST AND TELECOMMUNICATIONS (CHINA)

Report Date:

2009-11-01

Pagination or Media Count:

7.0

Abstract:

This report introduces the work of BUPT PRIS in Entity Track in TREC2009. The task and data are both new this year. In our work, an improved two-stage retrieval model is proposed according to the task. The first stage is document retrieval, in order to get the similarity of the query and documents. The second stage is to find the relationship between documents and entities. We also focus on entity extraction in the second stage and the final ranking.

Subject Categories:

  • Information Science
  • Psychology
  • Operations Research
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE