BUPT at TREC 2009: Entity Track

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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA517704

Entities

People

  • Dongxin Liu
  • Guang Chen
  • Jun Guo
  • Weiran Xu
  • Zhanyi Wang

Organizations

  • Peking University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Communication Systems
  • Computational Complexity
  • Electronic Mail
  • Extraction
  • Feature Extraction
  • Human-Machine Interaction
  • Information Operations
  • Intelligent Systems
  • Language
  • Named Entity Recognition
  • Natural Language Processing
  • Pattern Recognition
  • Recognition
  • Standards
  • Websites

Fields of Study

  • Computer science

Readers

  • Information Retrieval