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INODE4StatBot.swiss – Application of new algorithms for automatic natural language translation into database query language SQL (NL-to-SQL)

Description

The goal of this project is to apply the major algorithms developed in the EU-Project INODE (Intelligent Open Data Exploration, www.inode-project.eu) to Swiss Open Data. The focus is on developing multi-lingual extensions for so-called Natural Language to SQL systems (NL-to-SQL) where a natural language question is automatically translated into the database query language SQL using artificial intelligence solutions such as transformers, i.e. advanced neural networks.

The main idea is to enable users to access databases with the major languages spoken in Switzerland.

Key data

Project team

Dr. Farhad Nooralahzadeh, Yi Zhang, Ellery Smith, Oleksii Haievskyi, Dr. Christine Choirat (Bundesamt für Statistik BFS), Dr. Raphael de Fondeville (Bundesamt für Statistik BFS), Patrick Arnecke (Kanton Zürich), Philipp Bosch (Kanton Zürich)

Project partners

Bundesamt für Statistik BFS; Kanton Zürich / Statistisches Amt

Project status

completed, 12/2022 - 12/2023

Institute/Centre

Institute of Computer Science (InIT)

Funding partner

Bundesamt für Statistik BFS

Project budget

280'000 CHF

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