Conversational Data Systems

A conversational data system (or intelligent data assistant) understands user queries in natural language and uses natural language to explain queries, ask clarifications from the user, and describe results. Imagine an intelligent data assistant that allows us to express any query on any data in natural language, dig into data, and find answers by conversing and collaborating with the system, just like working with a human. Such systems are much more complex than any “digital assistant” we know of today, which are based on pre-specified dialogues and are able to answer simple questions like “What are the open pharmacies in my neighborhood?”. They require the synergy of several technologies and innovation in all these fronts, including natural language interfaces, data exploration, and conversational AI.

Works

DatAgent

An intelligent data assistant system

eQsplain

A deep learning approach for generating natural language explanations of SQL queries

Logos

A template-based approach for generating natural laguage explanations of SQL queries

QR2T

Verbalizing query results into natural language explanations

Text-to-SQL

A survey on deep learning approaches for Text-to-SQL

Thor

Interactive benchmarking of Text-to-SQL systems

People

Stavroula Eleftherakis

George Katsogiannis

Georgia Koutrika

Antonis Mandamadiotis

Anna Mitsopoulou

Mike Xydas