MathGloss: Building mathematical glossaries from text

Lucy Horowitz, Valeria de Paiva
11/21/2023
cs.CL

No official code found. Best implementation: MathGloss/MathGloss (11 stars, MIT, last commit 2025-12-08). 1 more below.

Abstract

MathGloss is a project to create a knowledge graph (KG) for undergraduate mathematics from text, automatically, using modern natural language processing (NLP) tools and resources already available on the web. MathGloss is a linked database of undergraduate concepts in mathematics. So far, it combines five resources: (i) Wikidata, a collaboratively edited, multilingual knowledge graph hosted by the Wikimedia Foundation, (ii) terms covered in mathematics courses at the University of Chicago, (iii) the syllabus of the French undergraduate mathematics curriculum which includes hyperlinks to the automated theorem prover Lean 4, (iv) MuLiMa, a multilingual dictionary of mathematics curated by mathematicians, and (v) the nLab, a wiki for category theory also curated by mathematicians. MathGloss's goal is to bring together resources for learning mathematics and to allow every mathematician to tailor their learning to their own preferences. Moreover, by organizing different resources for learning undergraduate mathematics alongside those for learning formal mathematics, we hope to make it easier for mathematicians and formal tools (theorem provers, computer algebra systems, etc) experts to "understand" each other and break down some of the barriers to formal math.

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Code Implementations(2)

MathGloss/MathGlossCommunity100%
MIT
112CSS, HTMLApr 2, 202310 months agoMIT
91CSS, TeXJun 18, 20211 years ago

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Cite this paper

@article{horowitz2023mathgloss,
  title  = {MathGloss: Building mathematical glossaries from text},
  author = {Lucy Horowitz and Valeria de Paiva},
  year   = {2023},
  eprint = {2311.12649},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.12649v1}
}

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