Impact of the document class in the automatic extraction of mathematical environments in the scientific literature - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Master Thesis Year : 2023

Impact of the document class in the automatic extraction of mathematical environments in the scientific literature

Abstract

The purpose of this report is to summarize and present my internship, its context within the Valda team from École normale supérieure, the tasks I have carried out there and the learning and benefits I have gained from it, including my career plan. This internship is part of my last year of engineering at I.M.T. Nord Europe called ``Projet de Fin d'Études''. This 24-week internship has led to the demonstration of the relevance of the use of the document class when extracting mathematical environments from the scientific literature. It is part of the TheoremKB project, which aims at creating and exploiting knowledge bases of mathematical results using this same scientific literature. This work resulted in the creation of several deliverables, including scientific articles and repositories to reproduce the experiments conducted. I have also developed relational skills related to the research context, as well as scientific skills, both theoretical and practical, in the field of data science. Finally, this experience definitely confirmed my wish to continue my engineering studies by a PhD, which I will do in this same team, and with the CEDAR team.
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Dates and versions

hal-04220990 , version 1 (28-09-2023)

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  • HAL Id : hal-04220990 , version 1

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Antoine Gauquier. Impact of the document class in the automatic extraction of mathematical environments in the scientific literature. Computer Science [cs]. 2023. ⟨hal-04220990⟩
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