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 | | Using Knowledge Bases for Question Answering | 
| LAN Yunshi PhD Candidate
School of Information Systems
Singapore Management University
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Research Area
Dissertation Committee Chairman Co-Chairman Committee Member External Member - Lun-Wei KU, Associate Research Professor, Institute of Information Science, Academic Sinica
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Date
14 February 2020 (Friday) |
Time
9.00am - 10.00am |
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 A knowledge base (KB) is a well-structured database, which contains many of entities and their relations. With the fast development of large-scale knowledge bases such as Freebase, DBpedia and YAGO, knowledge bases have become an important resource, which can serve many applications, such as dialogue system, textual entailment, question answering and so on. These applications play significant roles in industry. In this talk, we try to explore the knowledge base question answering (KBQA) task. This task aims to automatically find answers to factoid questions from a knowledge base, where answers are usually entities in the KB. KBQA task has gained much attention in recent years and shown promising contribution to real-world problems. | | | Speaker Biography Yunshi LAN is a PhD candidate at School of Information Systems, Singapore Management University. She is advised by Associate Professor Jing Jiang. Her research interests are in applications of knowledge bases in Natural Language Processing like textual entailment, knowledge base question answering, etc.. |
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