CoRE: a context-aware relation extraction method for relation completion

Li, Zhixu, Sharaf, Mohamed A., Sitbon, Laurianne, Du, Xiaoyong and Zhou, Xiaofang (2014) CoRE: a context-aware relation extraction method for relation completion. IEEE Transactions on Knowledge and Data Engineering, 26 4: 836-849. doi:10.1109/TKDE.2013.148


Author Li, Zhixu
Sharaf, Mohamed A.
Sitbon, Laurianne
Du, Xiaoyong
Zhou, Xiaofang
Title CoRE: a context-aware relation extraction method for relation completion
Journal name IEEE Transactions on Knowledge and Data Engineering   Check publisher's open access policy
ISSN 1041-4347
1558-2191
Publication date 2014-04
Year available 2013
Sub-type Article (original research)
DOI 10.1109/TKDE.2013.148
Open Access Status
Volume 26
Issue 4
Start page 836
End page 849
Total pages 14
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Collection year 2014
Language eng
Formatted abstract
We identify relation completion (RC) as one recurring problem that is central to the success of novel big data applications such as Entity Reconstruction and Data Enrichment. Given a semantic relation ℜ, RC attempts at linking entity pairs between two entity lists under the relation ℜ. To accomplish the RC goals, we propose to formulate search queries for each query entity α based on some auxiliary information, so that to detect its target entity β from the set of retrieved documents. For instance, a pattern-based method (PaRE) uses extracted patterns as the auxiliary information in formulating search queries. However, high-quality patterns may decrease the probability of finding suitable target entities. As an alternative, we propose CoRE method that uses context terms learned surrounding the expression of a relation as the auxiliary information in formulating queries. The experimental results based on several real-world web data collections demonstrate that CoRE reaches a much higher accuracy than PaRE for the purpose of RC.
Keyword Context-aware relation extraction
Relation completion
Relation query expansion
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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