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EMNLP
2009
13 years 4 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
14 years 26 days 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»
13 years 11 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
13 years 4 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
13 years 7 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...