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Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"

License: MIT License

Python 96.58% JavaScript 1.13% CSS 0.28% HTML 1.40% Makefile 0.06% Shell 0.55%
mathqa pytorch

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intergps's Issues

DataSet Generation

Hi Pan,
Loved your work in InterGPS. We were planning to extend the dataset, using the annotation tools shared. We wanted to know in logic_form.json for each question (Ground Truth), how was point positions added was this done manually or using some subroutine?
Thanks, Akshat

Cannot reproduce the results of symbol solver

Hi,
I follow the instruction to reproduce the results:
cd symbolic_solver
python test.py --label final --strategy final
But the obtained result is 40.27%, instead of the result 71.88% (in pred_results).
Can you help me with it?

About Data Annotation Tools

Excuse me,how can I use the Data Collection tool? When I run app.py, it gets results
image
but without anything in the web link.
Best wish!

About datasets

Hello, how can I expand the data set of Geometry3K? Where the math geometry problems of Geometry3K come from? Could you please provide more specific web links or other information?
Thank you very much!

Sharing Training Details

Hi Pan,

Your paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning" is awesome.

However, when reproducing results of this work, I have one problem. I trained the symbol detection model with the data you provided, but the model could not perform as well as the box_result you released. Could you please share more training details?

Thank you very much and looking forward to your reply.

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