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» Speed and Accuracy in Shallow and Deep Stochastic Parsing
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NIPS
2008
13 years 6 months ago
Deep Learning with Kernel Regularization for Visual Recognition
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...
Kai Yu, Wei Xu, Yihong Gong
COLING
2010
12 years 11 months ago
Forest-guided Supertagger Training
Supertagging is an important technique for deep syntactic analysis. A supertagger is usually trained independently of the parser using a sequence labeling method. This presents an...
Yao-zhong Zhang, Takuya Matsuzaki, Jun-ichi Tsujii