Text-mining methods used for information extraction in plant scientific papers

« Presentation of Text-mining methods used for information extraction in plant scientific papers.

Part 1: Context

Part 2: From Text to Words

Part 3: From words to entity recognition

Part 4: Entity categorization

Part 5 : Relation extraction

Part 6 : Information extraction evaluation « 

source > fosteropenscience.eu, Estelle Chaix, 20 juillet 2017

• Mots-clés : 
• Cas d'application,
• FOSTER (Facilitate Open Science Training for European Research),
• Fouille de données,
• Fouille de textes,
• Institut national de la recherche agronomique (INRA),
• OpenMinTeD,
• TDM (Text and Data Mining)