# seq2sql

**Repository Path**: blackkettle/seq2sql

## Basic Information

- **Project Name**: seq2sql
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-05
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Translating Complex Natural Language Questions into SQL Queries: an extension of Seq2SQL

This repo is an adaption of the implementations of SQLNet and Seq2SQL neural networks for predicting SQL queries on [WikiSQL dataset](https://github.com/salesforce/WikiSQL). The paper is available at [here](https://arxiv.org/abs/1711.04436). 

This was part of a larger research project with the Yale Computer Science LILY Lab [Spider: A Large-Scale Complex Human-Labeled SQL Corpus for Semantic Parsing and Text-to-SQL Generation](https://yale-lily.github.io/bibtex/spider.txt), which will be presented at EMNLP 2018. 

Research Poster [LILY Lab Projects](https://yale-lily.github.io/projects_s2018/)