Extracting scientific results from research articles - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Master Thesis Year : 2020

Extracting scientific results from research articles

Abstract

The basic unit of information of use by researchers in theoretical fields are the mathematical results. We aim to build a knowledge base of these results, using information extraction techniques on scholarly documents. We present an algorithm which extracts mathematical results and references to mathematical results from scientific papers, using their PDF or LATEX sources. We analyse the results of our algorithm on the whole arXiv database of scientific papers and explore the resulting graph of mathematical results, which contains more than 6 million results and 4.5 million edges. We present attempts to link theorems of different papers using a TFIDF vectorizer or an autoencoder.
Fichier principal
Vignette du fichier
Rapport_de_stage_M2.pdf (2.14 Mo) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-02956526 , version 1 (02-10-2020)

Identifiers

  • HAL Id : hal-02956526 , version 1

Cite

Lucas Pluvinage. Extracting scientific results from research articles. Artificial Intelligence [cs.AI]. 2020. ⟨hal-02956526⟩
233 View
1389 Download

Share

Gmail Mastodon Facebook X LinkedIn More