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» Making Tree Kernels Practical for Natural Language Learning
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CICLING
2008
Springer
13 years 8 months ago
Natural Language as the Basis for Meaning Representation and Inference
Abstract. Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on logical representatio...
Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Green...
NIPS
2001
13 years 7 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning
JMLR
2008
116views more  JMLR 2008»
13 years 6 months ago
Support Vector Machinery for Infinite Ensemble Learning
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
Hsuan-Tien Lin, Ling Li
ISOLA
2010
Springer
13 years 4 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
HOTOS
2007
IEEE
13 years 10 months ago
HotComments: How to Make Program Comments More Useful?
Program comments have long been used as a common practice for improving inter-programmer communication and code readability, by explicitly specifying programmers' intentions ...
Lin Tan, Ding Yuan, Yuanyuan Zhou