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Keyword extraction: State-of-the-art Review and Application to Terminology Extraction

Landes, Romain
(2020)

Files

LANDES_76411600_2020.pdf
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  • Adobe PDF
  • 1.49 MB

Details

Supervisors
Saerens, Marco ; François, Thomas
Faculty
Faculté des sciences
Degree label
Master [120] en science des données, orientation statistique
Abstract
Automatic Keyword Extraction (AKE) and Automatic Terminology Extraction (ATE) are two related subfields of Natural Language Processing. However, most of the current research benefits to AKE, while ATE is usually left with narrow methods which are language or domain-dependant. Hence, is it possible to generalise AKE techniques to ATE?