Results 101 to 110 of about 8,163 (222)

V-SQL: A View-based Two-stage Text-to-SQL Framework

10 pages,5 figures,
You, Zeshun, Yao, Jiebin, Cheng, Dong, Wen, Zhiwei, Lu, Zhiliang, Shen, Xianyi   +5 more
openaire   +2 more sources

Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting [PDF]

, 2023
Aseem Arora, Shabbirhussain Bhaisaheb, Harshit Nigam, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff   +5 more
openalex   +1 more source

Schema Retrieval with Embeddings and Vector Stores Using Retrieval-Augmented Generation and LLM-Based SQL Query Generation

Applied Sciences
In today’s world, where the volume and variety of data are increasing at an extraordinary rate, extracting meaningful insights from data is of critical importance; however, the complexity of standard database query languages makes it difficult for users ...
Mehmet Bozdemir, Metin Bilgin
doaj   +1 more source

KeyInst: Keyword Instruction for Improving SQL Formulation in Text-to-SQL

Text-to-SQL parsing involves the translation of natural language queries (NLQs) into their corresponding SQL commands. A principal challenge within this domain is the formulation of SQL queries that are not only syntactically correct but also semantically aligned with the natural language input.
Liu, Xiping, Tan, Zhao
openaire   +2 more sources

RGISQL: Integrating Refined Grammatical Information into Relational Graph Neural Network for Text-to-SQL Task

Applied Sciences
The text-to-SQL task aims to convert natural language questions into corresponding SQL queries based on a given database schema. Previous models that rely on graph neural networks often struggle to accurately capture the complex grammatical relationships
Shuiyan Li, Yaozhen He, Longhao Ao, Rongzhi Qi   +3 more
doaj   +1 more source

SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation [PDF]

, 2023
Adrián Bazaga, Píetro Lió, Gos Micklem   +2 more
openalex   +1 more source

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL [PDF]

, 2022
Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Yu Cheng, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin   +8 more
openalex   +1 more source

Grammar-based Neural Text-to-SQL Generation

, 2019
The sequence-to-sequence paradigm employed by neural text-to-SQL models typically performs token-level decoding and does not consider generating SQL hierarchically from a grammar. Grammar-based decoding has shown significant improvements for other semantic parsing tasks, but SQL and other general programming languages have complexities not present in ...
Lin, Kevin, Bogin, Ben, Neumann, Mark, Berant, Jonathan, Gardner, Matt   +4 more
openaire   +2 more sources

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing [PDF]

, 2021
Kun Wu, Lijie Wang, Zhenghua Li, Ao Zhang, Xinyan Xiao, Hua Wu, Min Zhang, Haifeng Wang   +7 more
openalex   +1 more source

Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers [PDF]

, 2022
Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi   +2 more
openalex   +1 more source