GS-SQL: Modeling Spatial Semantics in Spatial Text-to-SQL-Reference-Cited by-同舟云学术

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GS-SQL: Modeling Spatial Semantics in Spatial Text-to-SQL

Published:2024-06-30 Issue: Volume:1050 Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Zhang Xu¹,Xiao Feiyang¹,Yan Liang¹,Zhang Zhiqing²

Affiliation:

1. Chongqing University of Posts and Telecommunications,Department of Computer Science and Technology,Chongqing,China

2. Ministry of Natural Resources,Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation,China

Funder

Ministry of Natural Resources

Chongqing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651125.pdf?arnumber=10651125

Reference23 articles.

1. Seq2SQL: generating structured queries from natural language using reinforcement learning;Zhong,2017

2. SQLNet: generating structured queries from natural language without reinforcement learning;Xu,2017

3. Attention is all you need;Vaswani

4. Graph attention networks;Velickovic;stat,2017

5. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

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