@InProceedings{castroferreira-paraboni:2017:INLG2017,
  author    = {Castro Ferreira, Thiago  and  Paraboni, Ivandr\'{e}},
  title     = {Improving the generation of personalised descriptions},
  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     = {233--237},
  abstract  = {Referring expression generation (REG) models that use speaker-dependent
	information require a considerable amount of training data produced by every
	individual speaker, or may otherwise perform poorly. In this work we propose a
	simple personalised method for this task, in which speakers are grouped into
	profiles according to  their referential behaviour. Intrinsic evaluation shows
	that  the use of speaker's profiles generally outperforms the personalised
	method found in previous work.},
  url       = {http://www.aclweb.org/anthology/W17-3536}
}