NDLI: Related entity finding by unified probabilistic models

Content Provider	Springer Nature Link
Author	Fang, Yi Si, Luo
Copyright Year	2013
Abstract	Both the WWW research community and industry have shown increasing interests in not just finding relevant documents, but specific objects or entities to satisfy more sophisticated user information needs. TREC launched an Entity Track in 2009 to investigate the task of related entity finding. This paper proposes two novel probabilistic models to integrate several components into a unified modeling process. In particular, the type matching component can characterize the degree of matching between the expected entity type that is inferred from query and the candidate entity type that is inferred from entity profile. Another important component can incorporate prior knowledge about entities into the retrieval process. The main difference of the two models is that the second model explicitly considers the effect of source entity while the first one does not. A comprehensive set of experiments were conducted on the TREC Entity Track testbeds from 2009 to 2011 with careful design to show the contributions of individual components. The results demonstrate that both the type matching component and the entity prior modeling component can effectively boost the entity retrieval performance. Furthermore, the second model performs better than the first one in all the settings, indicating the benefits of explicitly modeling source entity in related entity finding. Both models generate better or competitive results than the state-of-the-art results in the TREC REF tasks. In addition, the proposed unified probabilistic approach is applied to the TREC Entity List Completion task and also demonstrates good performance.
Starting Page	521
Ending Page	543
Page Count	23
File Format	PDF
ISSN	1386145X
Journal	World Wide Web
Volume Number	18
Issue Number	3
e-ISSN	15731413
Language	English
Publisher	Springer US
Publisher Date	2013-11-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Related entity finding Probabilistic models Entity search Information Systems Applications (incl. Internet) Database Management Operating Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software Hardware and Architecture

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