Accession Number:

ADA517725

Title:

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

Descriptive Note:

Conference paper

Corporate Author:

CHINESE ACADEMY OF SCIENCES BEIJING INST OF COMPUTING TECHNOLOGY

Report Date:

2009-11-01

Pagination or Media Count:

4.0

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.

Subject Categories:

  • Information Science
  • Computer Programming and Software
  • Test Facilities, Equipment and Methods
  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE