AskYourDB: An end-to-end system for querying and visualizing relational databases using natural language

10/16/2022
by   Manu Joseph, et al.
5

Querying databases for the right information is a time consuming and error-prone task and often requires experienced professionals for the job. Furthermore, the user needs to have some prior knowledge about the database. There have been various efforts to develop an intelligence which can help business users to query databases directly. However, there has been some successes, but very little in terms of testing and deploying those for real world users. In this paper, we propose a semantic parsing approach to address the challenge of converting complex natural language into SQL and institute a product out of it. For this purpose, we modified state-of-the-art models, by various pre and post processing steps which make the significant part when a model is deployed in production. To make the product serviceable to businesses we added an automatic visualization framework over the queried results.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/07/2022

xDBTagger: Explainable Natural Language Interface to Databases Using Keyword Mappings and Schema Graph

Translating natural language queries (NLQ) into structured query languag...
research
10/11/2020

Data Agnostic RoBERTa-based Natural Language to SQL Query Generation

Relational databases are among the most widely used architectures to sto...
research
04/02/2018

An End-to-end Neural Natural Language Interface for Databases

The ability to extract insights from new data sets is critical for decis...
research
04/25/2018

TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation

Interacting with relational databases through natural language helps use...
research
05/31/2020

Efficient Deployment of Conversational Natural Language Interfaces over Databases

Many users communicate with chatbots and AI assistants in order to help ...
research
01/11/2021

DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks

Translating Natural Language Queries (NLQs) to Structured Query Language...
research
04/27/2017

Learning a Neural Semantic Parser from User Feedback

We present an approach to rapidly and easily build natural language inte...

Please sign up or login with your details

Forgot password? Click here to reset