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Master Thesis Year : 2023

Automatically inferring the document class used in a scientific article

Inférence automatique de la classe de document à partir de la littérature scientifique

Abstract

The purpose of this report is to summarize what I have achieved in the framework of Télécom Paris’ AI option research project. My project, entitled “Automatically inferring the document class used in a scientific article”, is carried out within the École Normale Supérieure, and more particularly within the Valda team at Inria Paris. It is co-supervised by Pierre Senellart, university professor at École Normale Supérieure and head of the Valda team, and Antoine Amarilli, associate professor at Télécom Paris.
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Dates and versions

hal-04379415 , version 1 (08-01-2024)

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  • HAL Id : hal-04379415 , version 1

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Antoine Gauquier. Automatically inferring the document class used in a scientific article. Computer Science [cs]. 2023. ⟨hal-04379415⟩
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