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

By : Landes, Romain [UCL] Directed by : Saerens, Marco [UCL] François, Thomas [UCL]

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?

Access type : Accès interdit
Year : 2020
Keywords : ATE, AKE, Natural Language Processing, Automatic Terminology Extraction, Automatic Keyword Extraction, TextRank, RAKE, YAKE
Language : Anglais
Faculty : Faculté des sciences
Degree : Master [120] en science des données, orientation statistique
Access statement : La diffusion de ce mémoire n'est pas autorisée par l'institution
Bibliographic reference Landes, Romain. Keyword extraction: State-of-the-art Review and Application to Terminology Extraction. Faculté des sciences, Université catholique de Louvain, 2020. Prom. : Saerens, Marco ; François, Thomas.
Permanent URL http://hdl.handle.net/2078.1/thesis:27595