@InProceedings{	  seminck17.srw,
  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",
  year		= 2017,
  publisher	= "Association for Computational Linguistics",
  pages		= "53--63",
  location	= "Valencia, Spain",
  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_pdf	= {../Docs/papers/seminck17_srw.pdf},
  url_hal	= {https://hal.science/halshs-01955078v1},
  url_acl	= "http://aclweb.org/anthology/E17-4006"
}

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