STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models-Reference-Cited by-同舟云学术

STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models

Published:2024-03-04 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Liao Hai¹²³^ORCID,Liang Yan¹^ORCID,Chen Song¹^ORCID,Xiang Lingyun⁴^ORCID,Chang Zhimin⁵,Xiao Yun³

Affiliation:

1. School of Computer Engineering, Chengdu Technological University, Chengdu, China

2. School of Software Engineering, Chengdu University of Information Technology, Chengdu, China

3. School of Software, Sichuan Vocational College of Information Technology, Guangyuan, China

4. Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary

5. The Research and Development Department, HAN Networks Corporation Limited, Beijing, China

Funder

the Open Project of Sichuan Provincial Key Laboratory of Philosophy and Social Science for Language Intelligence in Special Education

the Ph.D. Fund of Chengdu Technological University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2321552

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4. Binyuan, H., G. Ruiying, W. Lihan, Q. Bowen, L. Bowen. 2022. S2SQL: Injecting syntax to question-schema interaction graph encoder for text-to-SQL parsers. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 1254–29. Dublin.

5. Evolution of Semantic Similarity—A Survey