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

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...

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Bibliographic Details
Main Authors: Zhai, Haijun, Cheng, Xueqi, Guo, Jiafeng, Xu, Hongbo, Liu, Yue
Format: Report
Language:English
Subjects:
CHINA
COLLECTION
Computer Programming and Software
FOREIGN REPORTS
ICTNET(INSTITUTE OF COMPUTING TECHNOLOGY NETWORK)
INFORMATION RETRIEVAL
Information Science
INFORMATION SCIENCES
INTERNET
INTERNET BROWSERS
Linguistics
MATHEMATICAL MODELS
PROBABILITY
QUERIES(INFORMATION RETRIEVAL)
REF(RELATED ENTITY FINDING)
RELEVANCE(INFORMATION RETRIEVAL)
REPRINTS
SOCIAL COMMUNICATION
SYMPOSIA
TEST AND EVALUATION
Test Facilities, Equipment and Methods
WEB(INTERNET)
Online Access:Request full text
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Summary: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. Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).