Login Paper Search My Schedule Paper Index Help

My ICASSP 2020 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

WE3.I: Spoken Language Understanding and Dialogue I

Session Type: Poster
Time: Wednesday, 6 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Andreas Stolcke, Amazon
 
   WE3.I.1: A HIERARCHICAL MODEL FOR DIALOG ACT RECOGNITION CONSIDERING ACOUSTIC AND LEXICAL CONTEXT INFORMATION
         Yuke Si; Tianjin University
         Longbiao Wang; Tianjin University
         Jianwu Dang; Tianjin University
         Mengfei Wu; Tianjin University
         Aijun Li; Chinese Academy of Social Science
 
   WE3.I.2: LARGE-SCALE UNSUPERVISED PRE-TRAINING FOR END-TO-END SPOKEN LANGUAGE UNDERSTANDING
         Pengwei Wang; Alibaba
         Liangchen Wei; Alibaba
         Yong Cao; Alibaba
         Jinghui Xie; Alibaba
         Zaiqing Nie; Alibaba
 
   WE3.I.3: IMPROVING SPOKEN QUESTION ANSWERING USING CONTEXTUALIZED WORD REPRESENTATION
         Dan Su; Hong Kong University of Science and Technology
         Pascale Fung; Hong Kong University of Science and Technology
 
   WE3.I.4: LEARNING ASR-ROBUST CONTEXTUALIZED EMBEDDINGS FOR SPOKEN LANGUAGE UNDERSTANDING
         Chao-Wei Huang; National Taiwan University
         Yun-Nung Chen; National Taiwan University
 
   WE3.I.5: A HIERARCHICAL TRACKER FOR MULTI-DOMAIN DIALOGUE STATE TRACKING
         Jieyu Li; Shanghai Jiao Tong University
         Su Zhu; Shanghai Jiao Tong University
         Kai Yu; Shanghai Jiao Tong University
 
   WE3.I.6: A BI-MODEL APPROACH FOR HANDLING UNKNOWN SLOT VALUES IN DIALOGUE STATE TRACKING
         Yu Wang; Samsung Research America
         Yilin Shen; Samsung Research America
         Hongxia Jin; Samsung Research America
 
   WE3.I.7: IMPROVING SAMPLE-EFFICIENCY IN REINFORCEMENT LEARNING FOR DIALOGUE SYSTEMS BY USING TRAINABLE-ACTION-MASK
         Yen-Chen Wu; Cambridge University
         Bo-Hsiang Tseng; Cambridge University
         Carl Edward Rasmussen; Cambridge University
 
   WE3.I.8: FG2SEQ: EFFECTIVELY ENCODING KNOWLEDGE FOR END-TO-END TASK-ORIENTED DIALOG
         Zhenhao He; South China University of Technology
         Yuhong He; South China Agricultural University
         Qingyao Wu; South China University of Technology
         Jian Chen; South China University of Technology
 
   WE3.I.9: A SIMPLE BUT EFFECTIVE BERT MODEL FOR DIALOG STATE TRACKING ON RESOURCE-LIMITED SYSTEMS
         Tuan Lai; Purdue University
         Quan Tran; Adobe Research
         Trung Bui; Adobe Research
         Daisuke Kihara; Purdue University
 
   WE3.I.10: FAST DOMAIN ADAPTATION FOR GOAL-ORIENTED DIALOGUE USING A HYBRID GENERATIVE-RETRIEVAL TRANSFORMER
         Igor Shalyminov; Heriot-Watt University
         Alessandro Sordoni; Microsoft Research Montréal
         Adam Atkinson; Microsoft Research Montréal
         Hannes Schulz; Microsoft Research Montréal
 
   WE3.I.11: PREDICTING PERFORMANCE OUTCOME WITH A CONVERSATIONAL GRAPH CONVOLUTIONAL NETWORK FOR SMALL GROUP INTERACTIONS
         Yun-Shao Lin; National Tsing Hua University
         Chi-Chun Lee; National Tsing Hua University
 
   WE3.I.12: DESIGN CONSIDERATIONS FOR HYPOTHESIS REJECTION MODULES IN SPOKEN LANGUAGE UNDERSTANDING SYSTEMS
         Aman Alok; Amazon.com Services Inc.
         Rahul Gupta; Amazon.com Services Inc.
         Shankar Ananthakrishnan; Amazon.com Services Inc.