A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track

Abstract

This paper addresses the problem of related entity finding, which was proposed in trec 2009. The overall aim of related entity finding (REF) is to perform entity-related search on Web data, which address common information needs that are not that well modeled as ad hoc document search. In this paper, a novel framework was proposed based on a probabilistic model for related entity finding in a Web collection. This model consists of two parts. One is the probability indicating the relation between the source entity and the candidate entities. The other is the probability indicating the relevance between the candidate entities and the topic. Using ClueWeb09 dataset, the experimental evaluations show the effectiveness of our REF framework.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2009
Accession Number
ADA517725

Entities

People

  • Haijun Zhai
  • Hongbo Xu
  • Jiafeng Guo
  • Xueqi Cheng
  • Yue Liu

Organizations

  • Chinese Academy of Sciences

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Computer Science
  • Information Operations
  • Information Retrieval
  • Mathematical Models
  • Models
  • Probabilistic Models
  • Probability
  • Standards
  • World Wide Web

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Information Retrieval