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» Learning for Semantic Parsing
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COLING
2008
14 years 11 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...
101
Voted
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
15 years 3 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
NIPS
2004
14 years 11 months ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
NLPRS
2001
Springer
15 years 2 months ago
GLR Parser with Conditional Action Model(CAM)
There are two different approaches in the LR parsing. The first one is the deterministic approach that performs the only one action using the control rules learned without any LR ...
Yong-Jae Kwak, Young-Sook Hwang, Hoo-Jung Chung, S...
EACL
2009
ACL Anthology
15 years 10 months ago
Learning Efficient Parsing
Gertjan van Noord