@InProceedings{rabinovich-klein:2017:Short,
  author    = {Rabinovich, Maxim  and  Klein, Dan},
  title     = {Fine-Grained Entity Typing with High-Multiplicity Assignments},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {330--334},
  abstract  = {As entity type systems become richer and more fine-grained, we expect the
	number of types assigned to a given entity to increase. However, most
	fine-grained typing work has focused on datasets that exhibit a low degree of
	type multiplicity. In this paper, we consider the high-multiplicity regime
	inherent in data sources such as Wikipedia that have semi-open type systems. We
	introduce a set-prediction approach to this problem and show that our model
	outperforms unstructured baselines on a new Wikipedia-based fine-grained typing
	corpus.},
  url       = {http://aclweb.org/anthology/P17-2052}
}