今回のNIPS2006で、自然言語処理に特に関係ありそうな論文をあげておきます。
Scalable Discriminative Learning for Natural Language Parsing and Translation
http://
Training Conditional Random Fields for Maximum Parse Accuracy
http://
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
http://
Multi-Task Feature Learning
http://
Analysis of Representations for Domain Adaptation
http://
Large Margin Gaussian Mixture Models for Automatic Speech Recognition
http://
Dirichlet-Enhanced Spam Filtering based on Biased Samples
http://
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
http://
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
http://
Scalable Discriminative Learning for Natural Language Parsing and Translation
http://
Training Conditional Random Fields for Maximum Parse Accuracy
http://
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
http://
Multi-Task Feature Learning
http://
Analysis of Representations for Domain Adaptation
http://
Large Margin Gaussian Mixture Models for Automatic Speech Recognition
http://
Dirichlet-Enhanced Spam Filtering based on Biased Samples
http://
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
http://
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
http://
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