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Results: 4
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  • Open Access
    Ambati, B. R., Deoskar, T., & Steedman, M. (2016). Shift-Reduce CCG Parsing using Neural Network Models. In K. Knight, A. Nenkova, & O. Rambow (Eds.), NAACL HLT 2016 : The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the Conference : June 12-17, 2016, San Diego, California, USA (pp. 447-453). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N16-1052
  • Deoskar, T., Mylonakis, M., & Sima'an, K. (2014). Learning structural dependencies of words in the Zipfian Tail. Journal of Logic and Computation, 24(2), 433-453. https://doi.org/10.1093/logcom/exs062
  • Deoskar, T., Mylonakis, M., & Sima'an, K. (2011). Learning Structural Dependencies of Words in the Zipfian Tail. In H. Bunt, J. Nivre, & Ö. Çetinoğlu (Eds.), Proceedings of the 12th International Conference on Parsing Technologies: IWPT 2011 : October 5-7, 2011, Dublin City University (pp. 80-91). Association for Computational Linguistics. http://www.aclweb.org/anthology/W/W11/W11-2911.pdf
  • Deoskar, T., Rooth, M., & Sima'an, K. (2009). Smoothing fine-grained PCFG lexicons. In Proceedings of the 11th International Conference on Parsing Technologies (IWPT) (pp. 214-217). Association for Computational Linguistics (ACL). http://portal.acm.org/citation.cfm?id=1697236.1697278
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