@InProceedings{gonen-goldberg:2016:COLING,
  author    = {Gonen, Hila  and  Goldberg, Yoav},
  title     = {Semi Supervised Preposition-Sense Disambiguation using Multilingual Data},
  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     = {2718--2729},
  abstract  = {Prepositions are very common and very ambiguous, and understanding their sense
	is critical for understanding the meaning of the sentence. Supervised corpora
	for the preposition-sense disambiguation task are small, suggesting a
	semi-supervised approach to the task. We show that signals from unannotated
	multilingual data can be used to improve supervised preposition-sense
	disambiguation. Our approach pre-trains an LSTM encoder for predicting the
	translation of a preposition, and then incorporates the pre-trained encoder as
	a component in a supervised classification system, and fine-tunes it for the
	task. The multilingual signals consistently improve results on two
	preposition-sense datasets.},
  url       = {http://aclweb.org/anthology/C16-1256}
}