@InProceedings{mu-hartshorne-odonnell:2017:EMNLP2017,
  author    = {Mu, Jesse  and  Hartshorne, Joshua K.  and  O'Donnell, Timothy},
  title     = {Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {986--991},
  abstract  = {Verbs can only be used with a few specific arrangements of their arguments
	(syntactic frames). Most theorists note that verbs can be organized into a
	hierarchy of verb classes based on the frames they admit. Here we show that
	such a hierarchy is objectively well-supported by the patterns of verbs and
	frames in English, since a systematic hierarchical clustering algorithm
	converges on the same structure as the handcrafted taxonomy of VerbNet, a
	broad-coverage verb lexicon. We also show that the hierarchies capture
	meaningful psychological dimensions of generalization by predicting novel verb
	coercions by human participants. We discuss limitations of a simple
	hierarchical representation and suggest similar approaches for identifying the
	representations underpinning verb argument structure.},
  url       = {https://www.aclweb.org/anthology/D17-1104}
}