@InProceedings{tang-EtAl:2016:COLING1,
  author    = {Tang, Haiqing  and  Xiong, Deyi  and  Zhang, Min  and  Gong, Zhengxian},
  title     = {Improving Statistical Machine Translation with Selectional Preferences},
  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     = {2154--2163},
  abstract  = {Long-distance semantic dependencies are crucial for lexical choice in
	statistical machine translation. In this paper, we study semantic dependencies
	between verbs and their arguments by modeling selectional preferences in the
	context of machine translation. We incorporate preferences that verbs impose on
	subjects and objects into translation. In addition, bilingual selectional
	preferences between source-side verbs and target-side arguments are also
	investigated. Our experiments on Chinese-to-English translation tasks with
	large-scale training data demonstrate that statistical machine translation
	using verbal selectional preferences can achieve statistically significant
	improvements over a state-of-the-art baseline.},
  url       = {http://aclweb.org/anthology/C16-1203}
}