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EMNLP
2009
14 years 10 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
ALPIT
2008
IEEE
15 years 6 months ago
Tree Kernel-Based Semantic Relation Extraction Using Unified Dynamic Relation Tree
This paper proposes a Unified Dynamic Relation Tree (DRT) span for tree kernel-based semantic relation extraction between entity names. The basic idea is to apply a variety of lin...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...
ITS
2004
Springer
110views Multimedia» more  ITS 2004»
15 years 5 months ago
Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.
Abstract. Successful learning though exploration in open learning environments has been shown to depend on whether students possess the necessary meta-cognitive skills, including s...
Andrea Bunt, Cristina Conati, Kasia Muldner
ACL
2009
14 years 10 months ago
Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
Jing Jiang
COLING
2008
15 years 1 months ago
Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction
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...
Longhua Qian, Guodong Zhou, Fang Kong, Qiaoming Zh...