and extraction

Results: 3116



#Item
101

Module Extraction via Query Inseparability in OWL 2 QL Boris Konev1 , Roman Kontchakov2 , Michel Ludwig1 , Thomas Schneider3 , Frank Wolter1 , and Michael Zakharyaschev2 1 University of Liverpool, UK {konev,michel.ludwi

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Source URL: ceur-ws.org

- Date: 2011-06-26 10:20:43
    102

    Modeling Joint Entity and Relation Extraction with Table Representation Makoto Miwa and Yutaka Sasaki Toyota Technological InstituteHisakata, Tempaku-ku, Nagoya, , Japan {makoto-miwa, yutaka.sasaki}@toyot

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    Source URL: www.aclweb.org

    - Date: 2014-10-20 22:56:56
      103

      Comparison of the Baseline Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction Alexander Panchenko Center for Natural Language Processing (CENTAL) Universit´e catholique de Louvain,

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      Source URL: aclweb.org

      - Date: 2011-07-15 13:50:02
        104

        AMRITA_CEN@FIRE 2016: Code-Mix Entity Extraction for Hindi-English and Tamil-English Tweets Remmiya Devi G, Veena P V, Anand Kumar M and Soman K P Centre for Computational Engineering and Networking (CEN) Amrita School o

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        Source URL: ceur-ws.org

        - Date: 2016-11-18 14:11:21
          105

          Extraction of Semantic Relations between Concepts with KNN Algorithms on Wikipedia Alexander Panchenko1,2, Sergey Adeykin2, Alexey Romanov2, and Pavel Romanov2 1 Université catholique de Louvain, Centre for Natural Lan

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          Source URL: cental.fltr.ucl.ac.be

          - Date: 2012-06-20 08:35:29
            106

            Three Knowledge-Free Methods for Automatic Lexical Chain Extraction Steffen Remus and Chris Biemann FG Language Technology Department of Computer Science Technische Universit¨at Darmstadt

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            Source URL: aclweb.org

            - Date: 2013-05-18 12:41:37
              107

              Padawan Plan SenticNet Ltd. http://business.sentic.net SenticNet Padawan Plan offers advanced sentiment analysis services such as aspect extraction, microtext analysis, gisting, and topic modeling from short text-message

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              Source URL:

                108

                Program Extraction from Nested Definitions Kenji Miyamoto1,? , Fredrik Nordvall Forsberg2,?,?? and Helmut Schwichtenberg1 1 Ludwig-Maximilians-Universit¨

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                Source URL: www.math.lmu.de

                - Date: 2013-04-19 08:38:51
                  109

                  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
                    110

                    Minlog - A Tool for Program Extraction Supporting Algebras and Coalgebras Ulrich Berger1 , Kenji Miyamoto?2 , Helmut Schwichtenberg2 , and Monika Seisenberger1 1 2

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                    Source URL: www.math.lmu.de

                    - Date: 2011-05-23 12:16:42
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