RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion

Author:

Zheng Bolong1ORCID,Bi Lei1ORCID,Xi Ruijie1ORCID,Chen Lu2ORCID,Gao Yunjun2ORCID,Zhou Xiaofang3ORCID,Jensen Christian S.4ORCID

Affiliation:

1. Huazhong University of Science and Technology, Wuhan, China

2. Zhejiang University, Hangzhou, China

3. Hong Kong University of Science and Technology, Hong Kong, China

4. Aalborg University, Aalborg, Denmark

Funder

National Key Research and Development Program of China

NSFC

Publisher

ACM

Reference46 articles.

1. Christopher Baik H. V. Jagadish and Yunyao Li. 2019. Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. In ICDE. 374--385. Christopher Baik H. V. Jagadish and Yunyao Li. 2019. Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. In ICDE. 374--385.

2. Ziv Bar-Yossef and Naama Kraus. 2011. Context-sensitive query auto-completion. In WWW. 107--116. Ziv Bar-Yossef and Naama Kraus. 2011. Context-sensitive query auto-completion. In WWW. 107--116.

3. Samy Bengio Oriol Vinyals Navdeep Jaitly and Noam Shazeer. 2015. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. In NIPS. 1171--1179. Samy Bengio Oriol Vinyals Navdeep Jaitly and Noam Shazeer. 2015. Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks. In NIPS. 1171--1179.

4. Ursin Brunner and Kurt Stockinger. 2021. ValueNet: A Natural Language-to-SQL System that Learns from Database Information. In ICDE. 2177--2182. Ursin Brunner and Kurt Stockinger. 2021. ValueNet: A Natural Language-to-SQL System that Learns from Database Information. In ICDE. 2177--2182.

5. A Survey of Query Auto Completion in Information Retrieval

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