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André Greiner-Petter

André Greiner-Petter has 2 papers in our library, in 2018–2019, most of them on Reasoning; often with Bela Gipp, Moritz Schubotz, Akiko Aizawa.

2 papers in our library · 2018–2019

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 16 times in our library · ⭐ Paper Stars ranking: #9964

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMathematics · 1 workComputational Theory and Mathematics · 2 worksComputer Vision and Pattern Recognition · 1 workModeling and Simulation · 1 workArts and Humanities · 1 workArtificial Intelligence · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Improving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context (2018 · 30 citations)
    Mathematical notation is highly ambiguous. The same symbol can mean different things in different documents: E might be energy or expected value, and [a, b] might be an interval or a commutator. Presentation formats such as LaTeX record only layout, while computer algebra systems need explicit semantics, so…
  2. Why Machines Cannot Learn Mathematics, Yet (2019 · 12 citations)
    The paper asks why machine learning, especially text embedding methods, has done so poorly at capturing the meaning of mathematical notation in STEM documents.

 Co-authors here

4 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

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