Semantic parsing

Results: 130



#Item
11Supplementary Material: Neural Shift-Reduce CCG Semantic Parsing Dipendra Misra and Yoav Artzi Department of Computer Science and Cornell Tech Cornell University New York, NY 10011

Supplementary Material: Neural Shift-Reduce CCG Semantic Parsing Dipendra Misra and Yoav Artzi Department of Computer Science and Cornell Tech Cornell University New York, NY 10011

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Source URL: yoavartzi.com

- Date: 2018-04-02 13:13:18
    12Supplementary Material: Broad-coverage CCG Semantic Parsing with AMR Kenton Lee Luke Zettlemoyer Yoav Artzi∗ Dept. of Computer Science and Cornell Tech Computer Science & Engineering Cornell University

    Supplementary Material: Broad-coverage CCG Semantic Parsing with AMR Kenton Lee Luke Zettlemoyer Yoav Artzi∗ Dept. of Computer Science and Cornell Tech Computer Science & Engineering Cornell University

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    Source URL: yoavartzi.com

    - Date: 2018-04-02 13:13:18
      13Context-dependent Semantic Parsing for Time Expressions Kenton Lee† , Yoav Artzi† , Jesse Dodge‡∗, and Luke Zettlemoyer† † ‡

      Context-dependent Semantic Parsing for Time Expressions Kenton Lee† , Yoav Artzi† , Jesse Dodge‡∗, and Luke Zettlemoyer† † ‡

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      Source URL: yoavartzi.com

      - Date: 2018-04-02 13:13:18
        14Programming by Demonstration with Situated Semantic Parsing Yoav Artzi∗ , Maxwell Forbes∗ , Kenton Lee∗ & Maya Cakmak Department of Computer Science & Engineering, University of Washington 185 NE Stevens Way, Seatt

        Programming by Demonstration with Situated Semantic Parsing Yoav Artzi∗ , Maxwell Forbes∗ , Kenton Lee∗ & Maya Cakmak Department of Computer Science & Engineering, University of Washington 185 NE Stevens Way, Seatt

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        Source URL: yoavartzi.com

        - Date: 2018-04-02 13:13:17
          15Neural Shift-Reduce CCG Semantic Parsing Dipendra Misra and Yoav Artzi Department of Computer Science and Cornell Tech Cornell University New York, NY 10011 {dkm,yoav}@cs.cornell.edu

          Neural Shift-Reduce CCG Semantic Parsing Dipendra Misra and Yoav Artzi Department of Computer Science and Cornell Tech Cornell University New York, NY 10011 {dkm,yoav}@cs.cornell.edu

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          Source URL: yoavartzi.com

          - Date: 2018-04-02 13:13:18
            16Scaling Semantic Parsers with On-the-Fly Ontology Matching Tom Kwiakowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer. Semantic Parsing Q: How many people live in Seattle?

            Scaling Semantic Parsers with On-the-Fly Ontology Matching Tom Kwiakowski, Eunsol Choi, Yoav Artzi, Luke Zettlemoyer. Semantic Parsing Q: How many people live in Seattle?

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            Source URL: yoavartzi.com

            - Date: 2018-04-02 13:13:18
              17Statistical Models for Frame-Semantic Parsing Dipanjan Das Google Inc. 76 9th Avenue, New York, NY 10011

              Statistical Models for Frame-Semantic Parsing Dipanjan Das Google Inc. 76 9th Avenue, New York, NY 10011

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              Source URL: anthology.aclweb.org

              - Date: 2014-06-16 05:53:44
                18Any-language frame-semantic parsing Anders Johannsen, Héctor Martínez Alonso, Anders Søgaard Center for Language Technology University of Copenhagen, Denmark Njalsgade 140, DK-2300 Copenhagen S {ajohannsen,alonso,soeg

                Any-language frame-semantic parsing Anders Johannsen, Héctor Martínez Alonso, Anders Søgaard Center for Language Technology University of Copenhagen, Denmark Njalsgade 140, DK-2300 Copenhagen S {ajohannsen,alonso,soeg

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                Source URL: aclweb.org

                - Date: 2015-09-09 11:12:43
                  19Context-dependent Semantic Parsing for Time Expressions Kenton Lee† , Yoav Artzi† , Jesse Dodge‡∗, and Luke Zettlemoyer† † ‡

                  Context-dependent Semantic Parsing for Time Expressions Kenton Lee† , Yoav Artzi† , Jesse Dodge‡∗, and Luke Zettlemoyer† † ‡

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                  Source URL: homes.cs.washington.edu

                  - Date: 2016-11-10 17:15:00
                    20An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing Gholamreza Haffari Faculty of Information Technology Monash University Melbourne, Australia

                    An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing Gholamreza Haffari Faculty of Information Technology Monash University Melbourne, Australia

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                    Source URL: www.aclweb.org

                    - Date: 2011-05-20 16:12:52