Results 11 to 20 of about 9,267 (223)

Structure-Grounded Pretraining for Text-to-SQL [PDF]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Learning to capture text-table alignment is essential for tasks like text-to-SQL. A model needs to correctly recognize natural language references to columns and values and to ground them in the given database schema. In this paper, we present a novel weakly supervised Structure-Grounded pretraining framework (StruG) for text-to-SQL that can ...
Deng, Xiang, Awadallah, Ahmed Hassan, Meek, Christopher, Polozov, Oleksandr, Sun, Huan, Richardson, Matthew   +5 more
openaire   +3 more sources

One-Shot Learning for Text-to-SQL Generation [PDF]

, 2019
Most deep learning approaches for text-to-SQL generation are limited to the WikiSQL dataset, which only supports very simple queries. Recently, template-based and sequence-to-sequence approaches were proposed to support complex queries, which contain join queries, nested queries, and other types. However, Finegan-Dollak et al.
Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon   +4 more
openalex   +3 more sources

Generate Text-to-SQL Queries Based on Sketch Filling

IEEE Access
The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency.
Yinpei Fu, Songtao Ye, Hongjie Fan
doaj   +2 more sources

Selective Demonstrations for Cross-domain Text-to-SQL

Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large language models (LLMs) with in-context learning have demonstrated impressive generalization capabilities in the cross-domain text-to-SQL task, without the use of in-domain annotations. However, incorporating in-domain demonstration examples has been found to greatly enhance LLMs' performance. In this paper, we delve into the key factors within in-
Chang, Shuaichen, Fosler-Lussier, Eric
openaire   +3 more sources

UniqueNOSD: a novel framework for NoSQL over SQL databases [PDF]

Journal of Big Data
To date, most large corporations still have their core solutions on relational databases but only use non-relational (i.e. NoSQL) database management systems (DBMS) for their non-core systems that favour availability and scalability through partitioning ...
Abdulrauf A. Gidado, C. I. Ezeife
doaj   +2 more sources

GPT-Based Text-to-SQL for Spatial Databases

ISPRS International Journal of Geo-Information
Text-to-SQL for spatial databases enables the translation of natural language questions into corresponding SQL queries, allowing non-experts to easily access spatial data, which has gained increasing attention from researchers.
Hui Wang, Li Guo, Yubin Liang, Le Liu, Jiajin Huang   +4 more
doaj   +2 more sources

Valid Text-to-SQL Generation with Unification-Based DeepStochLog [PDF]

Large language models have been used to translate natural language questions to SQL queries. Without hard constraints on syntax and database schema, they occasionally produce invalid queries that are not executable. These failures limit the usage of these systems in real-life scenarios.
Ying Jiao, Luc De Raedt, Giuseppe Marra
openalex   +4 more sources

Technical Research of Graph Neural Network for Text-to-SQL Parsing [PDF]

Jisuanji kexue, 2022
The Text-to-SQL task in the field of semantic parsing is of great significance for realizing database-based automatic question and answer.At present, deep learning models, such as sequence generation model Seq2Seq, has achieved significant effects in ...
CAO He-xin, ZHAO Liang, LI Xue-feng
doaj   +1 more source

Service-oriented Text-to-SQL Parsing [PDF]

Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
The information retrieval from relational database requires professionals who has an understanding of structural query language such as SQL. TEXT2SQL models apply natural language inference to enable user interacting the database via natural language utterance.
Wangsu Hu, Jilei Tian
openaire   +1 more source

mRAT-SQL+GAP: A Portuguese Text-to-SQL Transformer [PDF]

, 2021
The translation of natural language questions to SQL queries has attracted growing attention, in particular in connection with transformers and similar language models. A large number of techniques are geared towards the English language; in this work, we thus investigated translation to SQL when input questions are given in the Portuguese language. To
Marcelo Archanjo José, Fabio Gagliardi Cozman   +1 more
openaire   +2 more sources