Enhancing Paraphrase Question Generation With Prior Knowledge-Reference-Cited by-同舟云学术

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Enhancing Paraphrase Question Generation With Prior Knowledge

Published:2023 Issue: Volume:31 Page:1464-1475
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Xie Jiayuan¹^ORCID,Fang Wenhao¹,Huang Qingbao²^ORCID,Cai Yi¹^ORCID,Wang Tao³^ORCID

Affiliation:

1. School of Software Engineering, South China University of Technology, Guangzhou, China

2. School of Electrical Engineering, Guangxi University, Nanning, China

3. Department of Biostatistics & Health Informatics, King's College London, London, U.K.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Fundamental Research Funds for the Central Universities

South China University of Technology

Science and Technology Planning Project of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/09978727.pdf?arnumber=9978727

Reference46 articles.

1. A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation

2. Know what you dont know: Unanswerable questions for squad;rajpurkar;Proc Assoc Comput Linguistics,0

3. ClarQ: A large-scale and diverse dataset for Clarification Question Generation

4. Experiments on paraphrase identification using quora question pairs dataset;chandra;CoRR,2020

5. Joint Learning of Question Answering and Question Generation

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