Finding additional semantic entity information for search engines

Hou, Jun, Nayak, Richi, & Zhang, Jinglan (2012) Finding additional semantic entity information for search engines. In Trotman, Andrew (Ed.) Proceedings of the 17th Australasian Document Computing Sysmposium, ACM, Dunedin, New Zealand, pp. 115-122.

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Entity-oriented search has become an essential component of modern search engines. It focuses on retrieving a list of entities or information about the specific entities instead of documents. In this paper, we study the problem of finding entity related information, referred to as attribute-value pairs, that play a significant role in searching target entities. We propose a novel decomposition framework combining reduced relations and the discriminative model, Conditional Random Field (CRF), for automatically finding entity-related attribute-value pairs from free text documents. This decomposition framework allows us to locate potential text fragments and identify the hidden semantics, in the form of attribute-value pairs for user queries. Empirical analysis shows that the decomposition framework outperforms pattern-based approaches due to its capability of effective integration of syntactic and semantic features.

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ID Code: 57447
Item Type: Conference Paper
Refereed: Yes
Keywords: Entity retrieval, Decomposition framework, Conditional random field (CRF)
DOI: 10.1145/2407085.2407101
ISBN: 9781450314114
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 ACM
Deposited On: 22 Feb 2013 00:19
Last Modified: 26 Mar 2013 12:52

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