Generating Natural Language From Logic Expressions With Structural Representation-Reference-Cited by-同舟云学术

Generating Natural Language From Logic Expressions With Structural Representation

Published:2023 Issue: Volume:31 Page:1499-1510
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:

Wu Xin¹^ORCID,Cai Yi¹^ORCID,Lian Zetao¹,Leung Ho-fung²^ORCID,Wang Tao³^ORCID

Affiliation:

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

2. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong

3. Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, U.K.

Funder

Maudsley Charity and Early Career Research

Institute of Psychiatry, Psychology and Neuroscience, King’s College London

King's College London

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Technology Planning Project of Guangdong Province

CAAI-Huawei MindSpore Open Fund

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/ielx7/6570655/9970249/10091889.pdf?arnumber=10091889

Reference55 articles.

1. Design of a knowledge-based report generator

2. Exploring the limits of transfer learning with a unified text-to-text transformer;raffel;J Mach Learn Res,2020

3. Building applied natural language generation systems

4. A computational theory of prose style for natural language generation

5. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments;banerjee;Proc ACL Workshop Intrinsic Extrinsic Eval Measures Mach Transl Summarization,0

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