Found 17 results
Author Title [ Type(Desc)] Year
Filters: First Letter Of Last Name is K and Author is Dan Klein  [Clear All Filters]
Conference Paper
DeNero, J., Pauls A., & Klein D. (2009).  Asynchronous Binarization for Synchronous Grammars.
Haghighi, A.., Blitzer J.., DeNero J., & Klein D. (2009).  Better Word Alignments with Supervised ITG Models.
Pauls, A., DeNero J., & Klein D. (2009).  Consensus Training for Consensus Decoding in Machine Translation. 1418-1427.
Bansal, M., & Klein D. (2012).  Coreference Semantics from Web Features.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Deep compositional question answering with neural module networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
DeNero, J., Bansal M., Pauls A., & Klein D. (2009).  Efficient Parsing for Transducer Grammars. 227-235.
Favre, B., Hakkani-Tür D., Petrov S., & Klein D. (2008).  Efficient Sentence Segmentation Using Syntactic Features. 77-80.
Guadarrama, S., Riano L., Golland D., Göhring D., Jia Y., Klein D., et al. (2013).  Grounding Spatial Relations for Human-Robot Interaction.
Petrov, S., Barrett L., Thibaux R., & Klein D. (2006).  Learning Accurate, Compact, and Interpretable Tree Annotation. Proceedings of the 44th Annual Meeting of the Association of Computational Linguistics (ACL).
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Neural Module Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 39-48.
Petrov, S., Barrett L., & Klein D. (2006).  Non-Local Modeling with a Mixture of PCFGs. Proceedings of the 10th International Conference on Conference of Computational Natural Language Learning (CoNLL-X '06). 14-20.
DeNero, J., Bouchard-Côté A.., & Klein D. (2008).  Sampling Alignment Structure Under a Bayesian Translation Model. 314-323.
Bansal, M., & Klein D. (2010).  Simple, Accurate Parsing with an All-Fragments Grammar. 1098-1107.
Bansal, M., & Klein D. (2011).  The Surprising Variance in Shortest-Derivation Parsing.
Bansal, M., & Klein D. (2011).  Web-Scale Features for Full-Scale Parsing. 693-702.