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| Question Answering with Textual Sequence Matching | 
| WANG Shuohang PhD Candidate
School of Information Systems
Singapore Management University
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Research Area
Dissertation Committee Chairman Committee Members External Member - LU Wei, Assistant Professor, Singapore University of Technology and Design
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Date
April 2, 2019 (Tuesday) |
Time
9.30am - 10.30am |
Venue
Meeting Room 4.4, Level 4,
School of Information Systems Singapore Management University
80 Stamford Road
Singapore 178902 | We look forward to seeing you at this research seminar. ![]()
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| | About The Talk Question answering (QA) is one of the most important applications in natural language processing. The task is to build machines that can answer questions expressed in human language using information and knowledge found in sources such as a single article, a corpus of documents, a knowledge base, or even an image or a video. Intelligently solving this problem can not only help humans obtain useful information from huge amount of textual resources more efficiently, but also help develop intelligent machines such as conversational agents. | Speaker Biography WANG Shuohang is a PhD candidate at School of Information Systems, Singapore Management University advised by Associate Professor JIANG Jing and Associate Professor ZHENG Baihua. His research interests are in deep learning and reinforcement learning in Natural Language Processing which spans Question Answering, Machine Reading Comprehension, Text Entailment, etc. |
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