A Two-Validator Web Interface for Structured Geometry Figure Annotation

Sabin-Codruţ Badea, Adrian-Marius Dumitran
Proceedings of the Impactful and Responsible AI Systems for Education Workshop, PMLR 339:107-111, 2026.

Abstract

Annotating geometric figures from scanned documents has long been addressed by adapting generic annotation tools, tools not originally designed for such tasks, to use cases where they are suboptimal. An interactive web interface is described that is purpose-built for validating automatically generated geometry figure descriptions, allowing annotators to review and correct conditional declaration language (CDL) descriptions while simultaneously adjusting figure crops and editing source problem text. Submissions pass through two independent annotators in sequence, with each round fully logged. The interface is currently deployed and has been used by 12 annotators to validate 483 problem entries.

Cite this Paper

BibTeX
@InProceedings{pmlr-v339-badea26a, title = {A Two-Validator Web Interface for Structured Geometry Figure Annotation}, author = {Badea, Sabin-Codru\c{t} and Dumitran, Adrian-Marius}, booktitle = {Proceedings of the Impactful and Responsible AI Systems for Education Workshop}, pages = {107--111}, year = {2026}, editor = {Basu Mallick, Debshila and Woodhead, Simon and Wang, Zichao and Ananda, Muktha and Burstein, Jill and Murphy, April}, volume = {339}, series = {Proceedings of Machine Learning Research}, month = {28 Jun}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v339/main/assets/badea26a/badea26a.pdf}, url = {https://proceedings.mlr.press/v339/badea26a.html}, abstract = {Annotating geometric figures from scanned documents has long been addressed by adapting generic annotation tools, tools not originally designed for such tasks, to use cases where they are suboptimal. An interactive web interface is described that is purpose-built for validating automatically generated geometry figure descriptions, allowing annotators to review and correct conditional declaration language (CDL) descriptions while simultaneously adjusting figure crops and editing source problem text. Submissions pass through two independent annotators in sequence, with each round fully logged. The interface is currently deployed and has been used by 12 annotators to validate 483 problem entries.} }
Endnote
%0 Conference Paper %T A Two-Validator Web Interface for Structured Geometry Figure Annotation %A Sabin-Codruţ Badea %A Adrian-Marius Dumitran %B Proceedings of the Impactful and Responsible AI Systems for Education Workshop %C Proceedings of Machine Learning Research %D 2026 %E Debshila Basu Mallick %E Simon Woodhead %E Zichao Wang %E Muktha Ananda %E Jill Burstein %E April Murphy %F pmlr-v339-badea26a %I PMLR %P 107--111 %U https://proceedings.mlr.press/v339/badea26a.html %V 339 %X Annotating geometric figures from scanned documents has long been addressed by adapting generic annotation tools, tools not originally designed for such tasks, to use cases where they are suboptimal. An interactive web interface is described that is purpose-built for validating automatically generated geometry figure descriptions, allowing annotators to review and correct conditional declaration language (CDL) descriptions while simultaneously adjusting figure crops and editing source problem text. Submissions pass through two independent annotators in sequence, with each round fully logged. The interface is currently deployed and has been used by 12 annotators to validate 483 problem entries.
APA
Badea, S. & Dumitran, A.. (2026). A Two-Validator Web Interface for Structured Geometry Figure Annotation. Proceedings of the Impactful and Responsible AI Systems for Education Workshop, in Proceedings of Machine Learning Research 339:107-111 Available from https://proceedings.mlr.press/v339/badea26a.html.

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