Research on Automatic Question Answering of Generative Knowledge Graph Based on Pointer Network

Research on Automatic Question Answering of Generative Knowledge Graph Based on Pointer Network

Question-answering systems based on knowledge graphs are extremely challenging tasks in the field of natural language processing. Most of the existing Chinese Knowledge Base Question Answering(KBQA) can only return the knowledge stored in the knowledge base by extractive methods. Nevertheless, this...

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Bibliographic Details
Main Authors: Shuang Liu, Nannan Tan, Yaqian Ge, Niko Lukač
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Information
Subjects:
knowledge base question answering
entity recognition
pointer generator network
answer generative model
pre-trained language model
Online Access:https://www.mdpi.com/2078-2489/12/3/136

Internet

https://www.mdpi.com/2078-2489/12/3/136

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