Dyer

Results: 849



#Item
21A Supertag-Context Model for Weakly-Supervised CCG Parser Learning Dan Garrette Chris Dyer Jason Baldridge

A Supertag-Context Model for Weakly-Supervised CCG Parser Learning Dan Garrette Chris Dyer Jason Baldridge

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Source URL: www.dhgarrette.com

- Date: 2018-08-10 17:39:38
    22Career Advancement Program for Tenured SEM Women Faculty Beth A. Montelone and Ruth A. Dyer Kansas State University Abstract Professional development programs at most institutions are designed primarily for new or tenure

    Career Advancement Program for Tenured SEM Women Faculty Beth A. Montelone and Ruth A. Dyer Kansas State University Abstract Professional development programs at most institutions are designed primarily for new or tenure

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    Source URL: advance.k-state.edu

    Language: English - Date: 2018-06-02 22:55:11
      23Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation Yulia Tsvetkov Florian Metze Chris Dyer Language Technologies Institute Carnegie Mellon University Pittsburgh, PA

      Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation Yulia Tsvetkov Florian Metze Chris Dyer Language Technologies Institute Carnegie Mellon University Pittsburgh, PA

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      Source URL: www.cs.cmu.edu

      Language: English - Date: 2014-03-15 22:48:18
        24Indoor 2 Man League Week #8 Better Ball - Entrada at Snow Canyon - Back 9 Group A Player HDCP 90% 10 11 Ben Dyer

        Indoor 2 Man League Week #8 Better Ball - Entrada at Snow Canyon - Back 9 Group A Player HDCP 90% 10 11 Ben Dyer

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        Source URL: d2tbfnbweol72x.cloudfront.net

        Language: English - Date: 2018-03-13 22:20:25
          25Knowledge-Rich Morphological Priors for Bayesian Language Models Victor Chahuneau Noah A. Smith Chris Dyer Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA {vchahune,nasmith,cdyer}@cs.

          Knowledge-Rich Morphological Priors for Bayesian Language Models Victor Chahuneau Noah A. Smith Chris Dyer Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213, USA {vchahune,nasmith,cdyer}@cs.

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          Source URL: www.cs.cmu.edu

          Language: English - Date: 2013-04-08 10:08:09
            26Weakly-Supervised Bayesian Learning of a CCG Supertagger Dan Garrette∗ ∗ Chris Dyer†

            Weakly-Supervised Bayesian Learning of a CCG Supertagger Dan Garrette∗ ∗ Chris Dyer†

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            Source URL: www.cs.cmu.edu

            Language: English - Date: 2014-05-01 08:09:04
              27Downloaded from http://rsos.royalsocietypublishing.org/ on September 18, 2015 rsos.royalsocietypublishing.org Research Cite this article: Olson RS, Haley PB, Dyer FC,

              Downloaded from http://rsos.royalsocietypublishing.org/ on September 18, 2015 rsos.royalsocietypublishing.org Research Cite this article: Olson RS, Haley PB, Dyer FC,

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              Source URL: adamilab.msu.edu

              Language: English - Date: 2016-03-31 15:11:34
                281 CONTEMPORARY VIEWS—1991 Perry Dyer This, the fourth annual edition of Contemporary Views, is a bit later than previous editions. I’m just now recuperating from a wild year of gardening to settle down and do some s

                1 CONTEMPORARY VIEWS—1991 Perry Dyer This, the fourth annual edition of Contemporary Views, is a bit later than previous editions. I’m just now recuperating from a wild year of gardening to settle down and do some s

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                Source URL: irises.org

                Language: English - Date: 2011-02-17 17:24:22
                  29Semantic Parsing with Semi-Supervised Sequential Autoencoders arXiv:1609.09315v1 [cs.CL] 29 Sep 2016 Tom´asˇ Koˇcisk´y†‡ G´abor Melis† Edward Grefenstette† Chris Dyer† Wang Ling† Phil Blunsom†‡ Karl

                  Semantic Parsing with Semi-Supervised Sequential Autoencoders arXiv:1609.09315v1 [cs.CL] 29 Sep 2016 Tom´asˇ Koˇcisk´y†‡ G´abor Melis† Edward Grefenstette† Chris Dyer† Wang Ling† Phil Blunsom†‡ Karl

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                  Source URL: arxiv.org

                  - Date: 2016-09-29 20:25:45
                    30Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems Wang Ling♠ Dani Yogatama♠ Chris Dyer♠

                    Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems Wang Ling♠ Dani Yogatama♠ Chris Dyer♠

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                    Source URL: arxiv.org

                    - Date: 2017-10-23 20:33:51