Convert natural language query to appropriate SQL, make ERPs cool again.
-
Updated
Nov 12, 2020 - Python
Convert natural language query to appropriate SQL, make ERPs cool again.
Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260
Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620
The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"
🌶️ R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
Python 3 reimplementation of SyntaxSQLNet, including several improvements
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
Polish translation of spider dataset.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
A NLQ(Natural Language Query) demo using Amazon Bedrock, Amazon OpenSearch with RAG technique.
Add a description, image, and links to the text2sql topic page so that developers can more easily learn about it.
To associate your repository with the text2sql topic, visit your repo's landing page and select "manage topics."