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» Tree Sequence Kernel for Natural Language
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CEC
2010
IEEE
15 years 5 months ago
Evolving natural language grammars without supervision
Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...
Lourdes Araujo, Jesus Santamaria
JMLR
2008
148views more  JMLR 2008»
15 years 4 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
ACL
2012
13 years 6 months ago
String Re-writing Kernel
Learning for sentence re-writing is a fundamental task in natural language processing and information retrieval. In this paper, we propose a new class of kernel functions, referre...
Fan Bu, Hang Li, Xiaoyan Zhu
EMNLP
2009
15 years 1 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
COLING
2008
15 years 5 months ago
Modeling Semantic Containment and Exclusion in Natural Language Inference
We propose an approach to natural language inference based on a model of natural logic, which identifies valid inferences by their lexical and syntactic features, without full sem...
Bill MacCartney, Christopher D. Manning