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Federated Marginal Personalization for ASR Rescoring

Dec 01, 2020
Zhe Liu, Fuchun Peng


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Improving N-gram Language Models with Pre-trained Deep Transformer

Nov 22, 2019
Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng


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Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models

Oct 29, 2019
Tianxing He, Jun Liu, Kyunghyun Cho, Myle Ott, Bing Liu, James Glass, Fuchun Peng


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Training ASR models by Generation of Contextual Information

Oct 27, 2019
Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed


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An Empirical Study of Efficient ASR Rescoring with Transformers

Oct 24, 2019
Hongzhao Huang, Fuchun Peng

* 5 pages, 5 tables 

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Efficient Dynamic WFST Decoding for Personalized Language Models

Oct 23, 2019
Jun Liu, Jiedan Zhu, Vishal Kathuria, Fuchun Peng

* 5 pages, 4 figures 

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Boltzmann Machine Learning with the Latent Maximum Entropy Principle

Oct 19, 2012
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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An Integrated, Conditional Model of Information Extraction and Coreference with Applications to Citation Matching

Jul 11, 2012
Ben Wellner, Andrew McCallum, Fuchun Peng, Michael Hay

* Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004) 

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