Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Longxu Dou; Yan Gao; Xuqi Liu; Mingyang Pan; Dingzirui Wang; Wanxiang Che; Dechen Zhan; Min‐Yen Kan; Jian–Guang Lou

doi:10.18653/v1/2022.emnlp-main.350

ScienceGate Book Chapters

JOURNAL ARTICLE

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Longxu Dou Yan Gao Xuqi Liu Mingyang Pan Dingzirui Wang Wanxiang Che Dechen Zhan Min‐Yen Kan Jian–Guang Lou

Year: 2022 Pages: 5240-5253

DOI: 10.18653/v1/2022.emnlp-main.350

Get Full-Text PDF Get Analytical Report

Abstract

Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

Keywords:

Computer science Parsing Natural language processing SQL Artificial intelligence Programming language Information retrieval Linguistics Philosophy

Metrics

Cited By

1.76

FWCI (Field Weighted Citation Impact)

Refs

0.83

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Abstract

Metrics

Citation History

Topics

Related Documents

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing

KG-SQL: Hybrid Knowledge-Guided Semantic Understanding for Text-to-SQL

Error Detection for Text-to-SQL Semantic Parsing

Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup

Semantic Decomposition of Question and SQL for Text-to-SQL Parsing