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ACL
2007

Detecting Semantic Relations between Named Entities in Text Using Contextual Features

14 years 10 months ago
Detecting Semantic Relations between Named Entities in Text Using Contextual Features
This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method employs newly introduced contextual features based on centering theory as well as conventional syntactic and word-based features. These features are organized as a tree structure and are fed into a boosting-based classification algorithm. Experimental results show the proposed method outperformed prior methods, and increased precision and recall by 4.4% and 6.7%.
Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where ACL
Authors Toru Hirano, Yoshihiro Matsuo, Gen-ichiro Kikui
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