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Peirsman and Pado 2010

Y. Peirsman and S. Pado: Cross-lingual Induction of Selectional Preferences with Bilingual Vector Spaces. Proceedings of NAACL 2010, Los Angeles. To appear.

We describe a cross-lingual method for the induction of selectional preferences for resource-poor languages, where no accurate monolingual models are available. The method uses bilingual vector spaces to ``translate'' foreign language predicate-argument structures into a resource-rich language like English. The only prerequisite for constructing the bilingual vector space is a large unparsed corpus in the resource-poor language, although the model can profit from (even noisy) syntactic knowledge. Our experiments show that the cross-lingual predictions correlate well with human ratings, clearly outperforming monolingual baseline models. 

@InProceedings{peirsman10:_cross_induc_selec_prefer_bilin_vector_spaces,
  author = 	 {Yves Peirsman and Sebastian Pad\'o},
  title = 	 {Cross-lingual Induction of Selectional 
                  Preferences with Bilingual Vector Spaces},
  booktitle = {Proceedings of NAACL/HLT},
  year = 	 2010,
  address = 	 {Los Angeles, CA}}