@InProceedings{li-EtAl:2016:COLING9,
  author    = {Li, Yuezhang(Music)  and  Zheng, Ronghuo  and  Tian, Tian  and  Hu, Zhiting  and  Iyer, Rahul  and  Sycara, Katia},
  title     = {Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification},
  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     = {2678--2688},
  abstract  = {Existing work learning distributed representations of knowledge base entities
	has largely failed to incorporate rich categorical structure, and is unable to
	induce category representations.
	We propose a new framework that embeds entities and categories jointly into a
	semantic space, by integrating structured knowledge and taxonomy hierarchy from
	large knowledge bases. Our framework enables to compute meaningful semantic
	relatedness between entities and categories in a principled way, and can handle
	both single-word and multiple-word concepts. Our method shows significant
	improvement on the tasks of concept categorization and dataless hierarchical
	classification.},
  url       = {http://aclweb.org/anthology/C16-1252}
}