#自然语言处理#A large annotated semantic parsing corpus for developing natural language interfaces.
#自然语言处理#A collection of datasets that pair questions with SQL queries.
Generating bash command from natural language https://arxiv.org/abs/1802.08979
#自然语言处理#Translating natural language questions to structured query language (SQL)
#自然语言处理#Efficient, consistent and secure library for querying structured data with natural language
#自然语言处理#A python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.
[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".
#自然语言处理#Natural Language Interface to DataBases
In-memory Graph Database and Knowledge Graph with Natural Language Interface, compatible with Pandas
Sparklis is a query builder in natural language that allows people to explore and query SPARQL endpoints with all the power of SPARQL and without any knowledge of SPARQL.
#自然语言处理#Morphological and syntactic analysis of Esperanto sentences
Code, data, and model of paper "Text-to-SQL Error Correction with Language Models of Code" (ACL'23)
#自然语言处理#Sample projects for Syn Bot Framework showcasing applications in different scenarios and platforms
A Finance Dataset Benchmark for Natural Language Queries
ICDE 2024 Paper, MetaSQL: A Generate-then-Rank Framework for Natural Language to SQL Translation
Natural Language Understanding and Response engine. Semantic parser and execution engine. With DBPedia and SHRDLU demo's.
ICDE 2023 Paper, GAR: A Generate-and-Rank Approach for Natural Language to SQL Translation
ICDE 2025 Paper, Grounding Natural Language to SQL Translation with Data-Based Self-Explanations
#自然语言处理#Front-end application for 'Esperanto Grammar Analyzer' built with React.js.
#自然语言处理#Direct command line interface to Wolfram|Alpha. Uses Wolfram|Alpha natural language APIs to answer queries in many areas, including STEM / STEAM: science, technology, engineering, arts, math, culture,...