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He, Tianxing; Zhang, Yu; Droppo, Jasha; Yu, Kai (2016)
Languages: English
Types: Preprint
Subjects: Computer Science - Computation and Language
We propose to train bi-directional neural network language model(NNLM) with noise contrastive estimation(NCE). Experiments are conducted on a rescore task on the PTB data set. It is shown that NCE-trained bi-directional NNLM outperformed the one trained by conventional maximum likelihood training. But still(regretfully), it did not out-perform the baseline uni-directional NNLM.

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