Knowledge base question answering with topic units

Knowledge base question answering with topic units

Knowledge base question answering (KBQA) is an important task in natural language processing. Existing methods for KBQA usually start with entity linking, which considers mostly named entities found in a question as the starting points in the KB to search for answers to the question. However, relyin...

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Bibliographic Details
Main Authors: LAN, Yunshi, WANG, Shuohang, JIANG, Jing
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Natural Language Processing
Question Answering
Knowledge-based Learning
Artificial Intelligence and Robotics
Online Access:https://ink.library.smu.edu.sg/sis_research/4440
https://ink.library.smu.edu.sg/context/sis_research/article/5443/viewcontent/8._Knowledge_Base_Question_Answering_with_Topic_Units__IJCAI2019_.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4440
https://ink.library.smu.edu.sg/context/sis_research/article/5443/viewcontent/8._Knowledge_Base_Question_Answering_with_Topic_Units__IJCAI2019_.pdf

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