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TU2.I: Machine Learning for Language Processing I

Session Type: Lecture
Time: Tuesday, 5 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Sanjeev Khudanpur, Johns Hopkins University
 
   TU2.I.1: SPOKEN LANGUAGE ACQUISITION BASED ON REINFORCEMENT LEARNING AND WORD UNIT SEGMENTATION
         Shengzhou Gao; Tokyo Institute of Technology
         Wenxin Hou; Tokyo Institute of Technology
         Tomohiro Tanaka; Tokyo Institute of Technology
         Takahiro Shinozaki; Tokyo Institute of Technology
 
   TU2.I.2: HOW MUCH SELF-ATTENTION DO WE NEED? TRADING ATTENTION FOR FEED-FORWARD LAYERS
         Kazuki Irie; RWTH Aachen University
         Alexander Gerstenberger; RWTH Aachen University
         Ralf Schl├╝ter; RWTH Aachen University
         Hermann Ney; RWTH Aachen University
 
   TU2.I.3: LEARNING RECURRENT NEURAL NETWORK LANGUAGE MODELS WITH CONTEXT-SENSITIVE LABEL SMOOTHING FOR AUTOMATIC SPEECH RECOGNITION
         Minguang Song; University of Missouri
         Yunxin Zhao; University of Missouri
         Shaojun Wang; PAII Inc
         Mei Han; PAII Inc
 
   TU2.I.4: SEMI-SUPERVISED LEARNING FOR TEXT CLASSIFICATION BY LAYER PARTITIONING
         Alexander Hanbo Li; Amazon, Inc.
         Abhinav Sethy; Amazon, Inc.
 
   TU2.I.5: INTEGRATING DISCRETE AND NEURAL FEATURES VIA MIXED-FEATURE TRANS-DIMENSIONAL RANDOM FIELD LANGUAGE MODELS
         Silin Gao; Tsinghua University
         Zhijian Ou; Tsinghua University
         Wei Yang; State Grid Customer Service Center
         Huifang Xu; China Electric Power Research Institute
 
   TU2.I.6: GATED ATTENTIVE CONVOLUTIONAL NETWORK DIALOGUE STATE TRACKER
         Sihong Liu; Beijing University Of Posts And Telecommunications
         Songyan Liu; Beijing University of Posts and Telecommunications
         Weiran Xu; Beijing University Of Posts And Telecommunications