@InProceedings{seminck-amsili:2017:EACLSRW17,
  author    = {Seminck, Olga  and  Amsili, Pascal},
  title     = {A Computational Model of Human Preferences for Pronoun Resolution},
  booktitle = {Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {53--63},
  abstract  = {We present a cognitive computational model of pronoun resolution that
	reproduces the human interpretation preferences of the Subject Assignment
	Strategy and the Parallel Function Strategy. Our model relies on a
	probabilistic pronoun resolution system trained on corpus data. Factors
	influencing pronoun resolution are represented as features weighted by their
	relative importance. The importance the model gives to the preferences is in
	line with psycholinguistic studies. We demonstrate the cognitive plausibility
	of the model by running it on experimental items and simulating antecedent
	choice and reading times of human participants. Our model can be used as a new
	means to study pronoun resolution, because it captures the interaction of
	preferences.},
  url       = {http://www.aclweb.org/anthology/E17-4006}
}