Classifications of open-domain queries for tabular data analysis

Gomm, Daniel; Wolff, Cornelius; Hulsebos, Madelon

This repository contains the code, prompts, and data used to build and evaluate the classifiers presented in the paper "Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis". The work was accepted to the AI for Tabular Data workshop at EurIPS 2025.

Additional Metadata
Project	Democratizing Insight Retrieval from (Semi-)Structured Data
Rights	opensource.org/license/MIT
Grant	This work was funded by the NWO; grant id nwo/NGF.1607.22.045 - Democratizing Insight Retrieval from (Semi-)Structured Data (DataLibra)
Organisation	Database Architectures
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Gomm, D., Wolff, C., & Hulsebos, M. (2025). Classifications of open-domain queries for tabular data analysis.

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inProceedings Are we asking the right questions? On ambiguity in natural language queries for tabular data analysis D. Gomm (Daniel), C.U. Wolff (Cornelius) and M Hulsebos (Madelon)

Classifications of open-domain queries for tabular data analysis

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inProceedings
Are we asking the right questions? On ambiguity in natural language queries for tabular data analysis

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Classifications of open-domain queries for tabular data analysis

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inProceedings Are we asking the right questions? On ambiguity in natural language queries for tabular data analysis

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inProceedings
Are we asking the right questions? On ambiguity in natural language queries for tabular data analysis