@InProceedings{mendez-EtAl:2017:INLG2017,
  author    = {M\'{e}ndez, Gonzalo  and  Herv\'{a}s, Raquel  and  Bautista, Susana  and  Rabadan, Adrian  and  Rodriguez, Teresa},
  title     = {Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images},
  booktitle = {Proceedings of the 10th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2017},
  address   = {Santiago de Compostela, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {61--69},
  abstract  = {Describing people and characters can be very useful in different contexts, such
	as computational narrative or image description for the visually impaired.
	However, a review of the existing literature shows that the automatic
	generation of people descriptions has not received much attention. Our work
	focuses on the description of people in snapshots from a 3D environment. First,
	we have conducted a survey to identify the way in which people describe other
	people under different conditions. We have used the information extracted from
	this survey to design several Referring Expression Generation algorithms which
	produce similar results. We have evaluated these algorithms with users in order
	to identify which ones generate the best description for specific characters in
	different situations. The evaluation has shown that, in order to generate good
	descriptions, a combination of different algorithms has to be used depending on
	the features and situation of the person to be described.},
  url       = {http://www.aclweb.org/anthology/W17-3507}
}