Information extraction

Results: 1143



#Item
21Incentives, Information Extraction and Job Assignments Mikko Leppämäkiy Mikko Mustonenz

Incentives, Information Extraction and Job Assignments Mikko Leppämäkiy Mikko Mustonenz

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Source URL: gsf.aalto.fi

- Date: 2016-12-15 06:47:48
    22Supplementary for ECIR 2014 Paper “Deep Learning for Character-based Information Extraction on Chinese and Protein Sequence” Yanjun Qi 1

    Supplementary for ECIR 2014 Paper “Deep Learning for Character-based Information Extraction on Chinese and Protein Sequence” Yanjun Qi 1

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    Source URL: www.cs.cmu.edu

    - Date: 2014-01-11 15:03:54
      23Google Squared Web scale, open domain information extraction and presentation Dan Crow Google

      Google Squared Web scale, open domain information extraction and presentation Dan Crow Google

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      Source URL: dces.essex.ac.uk

      - Date: 2010-04-23 12:44:16
        24new/s/leak – Information Extraction and Visualization for Investigative Data Journalists Seid Muhie Yimam† and Heiner Ulrich‡ and Tatiana von Landesberger and Marcel Rosenbach‡ and Michaela Regneri‡ and Alexan

        new/s/leak – Information Extraction and Visualization for Investigative Data Journalists Seid Muhie Yimam† and Heiner Ulrich‡ and Tatiana von Landesberger and Marcel Rosenbach‡ and Michaela Regneri‡ and Alexan

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        Source URL: www.aclweb.org

        - Date: 2016-08-01 10:39:50
          25Efficient Per Query Information Extraction from a Hamming Oracle

          Efficient Per Query Information Extraction from a Hamming Oracle

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          Source URL: robertmarks.org

            26Deep Learning for Character-based Information Extraction Yanjun Qi1 , Sujatha Das G2 , Ronan Collobert3 , and Jason Weston4 1 2

            Deep Learning for Character-based Information Extraction Yanjun Qi1 , Sujatha Das G2 , Ronan Collobert3 , and Jason Weston4 1 2

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            Source URL: www.cs.cmu.edu

            - Date: 2014-01-15 10:24:11
              27Unsupervised Relation Extraction of In-Domain Data from Focused Crawls Steffen Remus FG Language Technology Computer Science Department, Technische Universit¨at Darmstadt Information Center for Education

              Unsupervised Relation Extraction of In-Domain Data from Focused Crawls Steffen Remus FG Language Technology Computer Science Department, Technische Universit¨at Darmstadt Information Center for Education

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              Source URL: aclweb.org

              - Date: 2014-04-18 10:21:27
                28A Simple but Powerful Automatic Term Extraction Method Hiroshi Nakagawa Information Technology Center, The University of Tokyo 7-3-1, Bunkyo, Hongo Tokyo, Japan,

                A Simple but Powerful Automatic Term Extraction Method Hiroshi Nakagawa Information Technology Center, The University of Tokyo 7-3-1, Bunkyo, Hongo Tokyo, Japan,

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                Source URL: www.r.dl.itc.u-tokyo.ac.jp

                - Date: 2010-09-11 02:49:10
                  29Deep Learning for Character-based Information Extraction Yanjun Qi (University of Virginia, USA) Sujatha Das G (Penn. State University, USA) Ronan Collobert (IDIAP) Jason Weston (Google Research NY)

                  Deep Learning for Character-based Information Extraction Yanjun Qi (University of Virginia, USA) Sujatha Das G (Penn. State University, USA) Ronan Collobert (IDIAP) Jason Weston (Google Research NY)

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                  Source URL: www.cs.cmu.edu

                  - Date: 2014-05-11 00:10:19
                    30Open Information Extraction Systems and Downstream Applications Mausam Computer Science and Engineering Indian Institute of Technology New Delhi, India

                    Open Information Extraction Systems and Downstream Applications Mausam Computer Science and Engineering Indian Institute of Technology New Delhi, India

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                    Source URL: homes.cs.washington.edu

                    - Date: 2016-07-16 15:30:22