This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related feat...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
This paper proposes a tree kernel with contextsensitive structured parse tree information for relation extraction. It resolves two critical problems in previous tree kernels for r...
Guodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zh...
This paper proposes a new approach to dynamically determine the tree span for tree kernel-based semantic relation extraction. It exploits constituent dependencies to keep the node...
The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how differen...