Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2020 Open Preview.

HLT-P3: Language Understanding and Modeling

Session Type: Poster
Time: Thursday, 7 May, 11:30 - 13:30
Location: On-Demand
Virtual Session: View on Virtual Platform
Session Chairs: Ariya Rastrow, Amazon and Zhijian Ou, Tsinghua University
 
 HLT-P3.1: TRAINING SPOKEN LANGUAGE UNDERSTANDING SYSTEMS WITH NON-PARALLEL SPEECH AND TEXT
         Leda Sari; University of Illinois at Urbana-Champaign
         Samuel Thomas; IBM Research AI
         Mark Hasegawa-Johnson; University of Illinois at Urbana-Champaign
 
 HLT-P3.2: WHAT IS BEST FOR SPOKEN LANGUAGE UNDERSTANDING: SMALL BUT TASK-DEPENDANT EMBEDDINGS OR HUGE BUT OUT-OF-DOMAIN EMBEDDINGS?
         Sahar Ghannay; Université Paris-Saclay, CNRS, LIMSI, 91400
         Antoine Neuraz; Hôpital Necker-Enfants Malades, APHP INSERM UMRS 1138, Team 22, Paris Descartes, Université Sorbonne Paris Cité LIMSI, CNRS, Université Paris-Saclay
         Sophie Rosset; Université Paris-Saclay, CNRS, LIMSI, 91400
 
 HLT-P3.3: FAST INTENT CLASSIFICATION FOR SPOKEN LANGUAGE UNDERSTANDING SYSTEMS
         Akshit Tyagi; University of Massachusetts, Amherst
         Varun Sharma; University of Massachusetts, Amherst
         Rahul Gupta; Amazon, Inc.
         Lynn Samson; University of Massachusetts, Amherst
         Nan Zhuang; University of Massachusetts, Amherst
         Zihang Wang; University of Massachusetts, Amherst
         Bill Campbell; Amazon, Inc.
 
 HLT-P3.4: CONVERTING WRITTEN LANGUAGE TO SPOKEN LANGUAGE WITH NEURAL MACHINE TRANSLATION FOR LANGUAGE MODELING
         Shintaro Ando; University of Tokyo
         Masayuki Suzuki; IBM Research AI
         Nobuyasu Itoh; IBM Research AI
         Gakuto Kurata; IBM Research AI
         Nobuaki Minematsu; University of Tokyo
 
 HLT-P3.5: ADDRESSING THE POLYSEMY PROBLEM IN LANGUAGE MODELING WITH ATTENTIONAL MULTI-SENSE EMBEDDINGS
         Rao Ma; Shanghai Jiao Tong University
         Lesheng Jin; Shanghai Jiao Tong University
         Qi Liu; Shanghai Jiao Tong University
         Lu Chen; Shanghai Jiao Tong University
         Kai Yu; Shanghai Jiao Tong University
 
 HLT-P3.6: ADDRESSING CHALLENGES IN BUILDING WEB-SCALE CONTENT CLASSIFICATION SYSTEMS
         Aditya Srinivas Timmaraju; Facebook
         Angli Liu; Facebook
         Pushkar Tripathi; Facebook
 
 HLT-P3.7: A NEURAL DOCUMENT LANGUAGE MODELING FRAMEWORK FOR SPOKEN DOCUMENT RETRIEVAL
         Li-Phen Yen; National Taiwan University of Science and Technology
         Zhen-Yu Wu; National Taiwan University of Science and Technology
         Kuan-Yu Chen; National Taiwan University of Science and Technology
 
 HLT-P3.8: SPOKEN DOCUMENT RETRIEVAL LEVERAGING BERT-BASED MODELING AND QUERY REFORMULATION
         Shao-Wei Fan-Jiang; National Taiwan Normal University
         Tien-Hong Lo; National Taiwan Normal University
         Berlin Chen; National Taiwan Normal University; ASUS AICS
 
 HLT-P3.9: MULTITASK LEARNING FOR DARPA LORELEI’S SITUATION FRAME EXTRACTION TASK
         Karan Singla; University of Southern California
         Shrikanth Narayanan; University of Southern California
 
 HLT-P3.10: AUXILIARY CAPSULES FOR NATURAL LANGUAGE UNDERSTANDING
         Ieva Staliūnaitė; Huawei Noah's Ark Lab
         Ignacio Iacobacci; Huawei Noah's Ark Lab
 
 HLT-P3.11: DISCRETE WASSERSTEIN AUTOENCODERS FOR DOCUMENT RETRIEVAL
         Yifei Zhang; Alibaba Group
         Hao Zhu; Australian National University
 
 HLT-P3.12: CROSS-LINGUAL TOPIC PREDICTION FOR SPEECH USING TRANSLATIONS
         Sameer Bansal; University of Edinburgh
         Herman Kamper; Stellenbosch University
         Adam Lopez; University of Edinburgh
         Sharon Goldwater; University of Edinburgh