@ARTICLE{10.21494/ISTE.OP.2018.0209, 

TITLE={Automatic indexing of scientific papers Presentation and results of DEFT 2016 text mining challenge}, 
  
AUTHOR={Béatrice Daille, Sabine Barreaux, Adrien Bougouin, Florian Boudin, Damien Cram, Amir Hazem, }, 
	
JOURNAL={Information Retrieval, Document and Semantic Web}, 
	
VOLUME={1}, 

NUMBER={Issue 1}, 
	
YEAR={2018}, 

URL={https://openscience.fr/Automatic-indexing-of-scientific-papers-Presentation-and-results-of-DEFT-2016}, 
	
DOI={10.21494/ISTE.OP.2018.0209}, 
	
ISSN={2516-3280}, 
	
ABSTRACT={This paper presents the 2016 edition of the DEFT text mining challenge. This edition adresses the keyword-based
indexing of scientific papers with the aim of simulating a professional indexer. The corpus is composed of French bibliographic records
from four domains : linguistics, information science, archaeology and chemisty. The results have been evaluated in terms of precision,
recall and f-measure computed on stemmed texts against a reference manual indexation.}}