@InProceedings{todirascu-EtAl:2016:COLING,
  author    = {Todirascu, Amalia  and  Francois, Thomas  and  Bernhard, Delphine  and  Gala, Nuria  and  Ligozat, Anne-Laure},
  title     = {Are Cohesive Features Relevant for Text Readability Evaluation?},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {987--997},
  abstract  = {This paper investigates the effectiveness of 65 cohesion-based variables that
	are commonly used in the literature as predictive features to assess text
	readability. We evaluate the efficiency of these variables across narrative and
	informative texts intended for an audience of L2 French learners. In our
	experiments, we use a French corpus that has been both manually and
	automatically annotated as regards to co-reference and anaphoric chains. The
	efficiency of the 65 variables for readability is analyzed through a
	correlational analysis and some modelling experiments.},
  url       = {http://aclweb.org/anthology/C16-1094}
}