@InProceedings{inoue-EtAl:2016:COLING,
  author    = {Inoue, Naoya  and  Matsubayashi, Yuichiroh  and  Ono, Masayuki  and  Okazaki, Naoaki  and  Inui, Kentaro},
  title     = {Modeling Context-sensitive Selectional Preference with Distributed Representations},
  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     = {2829--2838},
  abstract  = {This paper proposes a novel problem setting of selectional preference (SP)
	between a predicate and its arguments, called as context-sensitive SP (CSP).
	CSP models the narrative consistency between the predicate and preceding
	contexts of its arguments, in addition to the conventional SP based on semantic
	types. Furthermore, we present a novel CSP model that extends the neural SP
	model (Van de Cruys, 2014) to incorporate contextual information into the
	distributed representations of arguments. Experimental results demonstrate that
	the proposed CSP model successfully learns CSP and outperforms the conventional
	SP model in coreference cluster ranking.},
  url       = {http://aclweb.org/anthology/C16-1266}
}