AnnoMathTeX - a formula identifier annotation recommender system for STEM documents

@article{Scharpf2019AnnoMathTeXA,
  title={AnnoMathTeX - a formula identifier annotation recommender system for STEM documents},
  author={Philipp Scharpf and Ian Mackerracher and M. Schubotz and J. Beel and Corinna Breitinger and Bela Gipp},
  journal={Proceedings of the 13th ACM Conference on Recommender Systems},
  year={2019}
}
  • Philipp Scharpf, Ian Mackerracher, +3 authors Bela Gipp
  • Published 2019
  • Computer Science
  • Proceedings of the 13th ACM Conference on Recommender Systems
  • Documents from science, technology, engineering and mathematics (STEM) often contain a large number of mathematical formulae alongside text. Semantic search, recommender, and question answering systems require the occurring formula constants and variables (identifiers) to be disambiguated. We present a first implementation of a recommender system that enables and accelerates formula annotation by displaying the most likely candidates for formula and identifier names from four different sources… CONTINUE READING
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