Detecting semantic relations between named entities in text using contextual features

DOI 1 Citations Open Access

Description

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%.

Journal

Citations (1)*help

See more

Details 詳細情報について

Report a problem

Back to top