@InProceedings{chersoni-lenci-blache:2017:starSEM,
  author    = {Chersoni, Emmanuele  and  Lenci, Alessandro  and  Blache, Philippe},
  title     = {Logical Metonymy in a Distributional Model of Sentence Comprehension},
  booktitle = {Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {168--177},
  abstract  = {In theoretical linguistics, logical metonymy is defined as the combination of
	an event-subcategorizing verb with an entity-denoting direct object (e.g., The
	author began the book), so that the interpretation of the VP requires the
	retrieval of a covert event (e.g., writing). Psycholinguistic studies have
	revealed extra processing costs for logical metonymy, a phenomenon generally
	explained with the introduction of new semantic structure.
	In this paper, we present a general distributional model for sentence
	comprehension inspired by the Memory, Unification and Control model by Hagoort
	(2013,2016). We show that our distributional framework can account for the
	extra processing costs of logical metonymy and can identify the covert event in
	a classification task.},
  url       = {http://www.aclweb.org/anthology/S17-1021}
}