@InProceedings{espinosaanke-EtAl:2016:COLING,
  author    = {Espinosa Anke, Luis  and  Camacho-Collados, Jose  and  Rodr\'{i}guez-Fern\'{a}ndez, Sara  and  Saggion, Horacio  and  Wanner, Leo},
  title     = {Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning},
  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     = {3422--3432},
  abstract  = {WordNet is probably the best known lexical resource in Natural Language
	Processing. While it is widely regarded as a high quality repository of
	concepts and semantic relations, updating and extending it manually is costly.
	One important type of relation which could potentially add enormous value to
	WordNet is the inclusion of collocational information, which is paramount in
	tasks such as Machine Translation, Natural Language Generation and Second
	Language Learning. In this paper, we present ColWordNet (CWN), an extended
	WordNet version with fine-grained collocational information, automatically
	introduced thanks to a method exploiting linear relations between analogous
	sense-level embeddings spaces. We perform both intrinsic and extrinsic
	evaluations, and release CWN for the use and scrutiny of the community.},
  url       = {http://aclweb.org/anthology/C16-1323}
}