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FR1.I: Language Modeling

Session Type: Lecture
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Session Chair: Helen Meng, The Chinese University of Hong Kong
 
   FR1.I.1: AN EMPIRICAL STUDY OF TRANSFORMER-BASED NEURAL LANGUAGE MODEL ADAPTATION
         Ke Li; Johns Hopkins University
         Zhe Liu; Facebook
         Tianxing He; Massachusetts Institute of Technology
         Hongzhao Huang; Facebook
         Fuchun Peng; Facebook
         Daniel Povey; [None]
         Sanjeev Khudanpur; Johns Hopkins University
 
   FR1.I.2: LOW-BIT QUANTIZATION OF RECURRENT NEURAL NETWORK LANGUAGE MODELS USING ALTERNATING DIRECTION METHODS OF MULTIPLIERS
         Junhao Xu; Chinese University of Hong Kong
         Xie Chen; Microsoft
         Shoukang Hu; Chinese University of Hong Kong
         Jianwei Yu; Chinese University of Hong Kong
         Xunying Liu; Chinese University of Hong Kong
         Helen Meng; Chinese University of Hong Kong
 
   FR1.I.3: AUDIO-ATTENTION DISCRIMINATIVE LANGUAGE MODEL FOR ASR RESCORING
         Ankur Gandhe; Amazon, Inc.
         Ariya Rastrow; Amazon, Inc.
 
   FR1.I.4: TRAINING CODE-SWITCHING LANGUAGE MODEL WITH MONOLINGUAL DATA
         Shun-Po Chuang; National Taiwan University
         Tzu-Wei Sung; University of California, San Diego
         Hung-Yi Lee; National Taiwan University
 
   FR1.I.5: DOMAIN ROBUST, FAST, AND COMPACT NEURAL LANGUAGE MODELS
         Alexander Gerstenberger; RWTH Aachen University
         Kazuki Irie; RWTH Aachen University
         Pavel Golik; AppTek GmbH
         Eugen Beck; RWTH Aachen University
         Hermann Ney; RWTH Aachen University
 
   FR1.I.6: A RANDOM GOSSIP BMUF PROCESS FOR NEURAL LANGUAGE MODELING
         Yiheng Huang; Tencent
         Jinchuan Tian; Tencent
         Lei Han; Tencent
         Guangsen Wang; Tencent
         Xingchen Song; Tsinghua University
         Dan Su; Tencent
         Dong Yu; Tencent