Suyu Ma
Suyu Ma is a PhD candidate in the Faculty of Information Technology, at Monash University. He has research interest in the areas of software engineering, Deep learning and Human computer Interaction. He is currently focusing on improving the usability and accessibility of digital applications.
Latexify Math: Mathematical Formula Markup Revision to Assist Collaborative Editing in Math Q&A Sites
Background: Collaborative editing questions and answers plays an important role in quality control of Mathematics StackExchange which is a math Q&A Site. Our study of post edits in Mathematics Stack Exchange shows that there is a large number of math-related edits about latexifying formulas, revising LaTeX and converting the blurred math formula screenshots to LaTeX sequence.
Method: MathLatexEdit implements a deep learning-based approach including two encoder-decoder models fort textual and visual LaTeX edit recommendation.
Conclusion: Our evaluation of MathLatexEdit not only demonstrates the accuracy of our model, but also the usefulness of MathLatexEdit in editing real-world posts which are accepted in Mathematics Stack Exchange.
Implications: Our tool makes the site easier to read for everyone. Second, this machine-readability also makes the text easier to register and index by search-engine crawlers.
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Ma, S., Chen, C., Khalajzadeh, H., Grundy, J.C. Latexify Math: Mathematical Formula Markup Revision to Assist Collaborative Editing in Math Q&A Sites, 24th ACM Conference on Computer Supported Cooperative Work (CSCW2021), 23-27 October, online