Similarity

Results: 2413



#Item
51A Study of Hybrid Similarity Measures for Semantic Relation Extraction Alexander Panchenko and Olga Morozova Center for Natural Language Processing (CENTAL) Universit´e catholique de Louvain, Belgium {alexander.panchen

A Study of Hybrid Similarity Measures for Semantic Relation Extraction Alexander Panchenko and Olga Morozova Center for Natural Language Processing (CENTAL) Universit´e catholique de Louvain, Belgium {alexander.panchen

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Source URL: aclweb.org

- Date: 2012-04-06 03:32:43
    52A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches Eneko Agirre† Enrique Alfonseca‡ Keith Hall‡ Jana Kravalova‡§ Marius Pas¸ca‡ Aitor Soroa† † IXA NLP Group, Universit

    A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches Eneko Agirre† Enrique Alfonseca‡ Keith Hall‡ Jana Kravalova‡§ Marius Pas¸ca‡ Aitor Soroa† † IXA NLP Group, Universit

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    Source URL: ixa.si.ehu.eus

    - Date: 2009-04-09 01:50:38
      53THE
MEANING
OF
THE
FRENCH
ADDITIVE
AUSSI:
PRESUPPOSITION
AND
DISCOURSE
SIMILARITY
 Grégoire Winterstein Laboratoire de Linguistique Formelle, UMR 7110, Université Paris Diderot - Paris 7 - CNRS gr

      THE
MEANING
OF
THE
FRENCH
ADDITIVE
AUSSI:
PRESUPPOSITION
AND
DISCOURSE
SIMILARITY
 Grégoire Winterstein Laboratoire de Linguistique Formelle, UMR 7110, Université Paris Diderot - Paris 7 - CNRS gr

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      Source URL: jsm.loria.fr

      - Date: 2010-03-19 04:53:05
        54Shape Distributions ROBERT OSADA, THOMAS FUNKHOUSER, BERNARD CHAZELLE, and DAVID DOBKIN Princeton University Measuring the similarity between 3D shapes is a fundamental problem, with applications in computer graphics, co

        Shape Distributions ROBERT OSADA, THOMAS FUNKHOUSER, BERNARD CHAZELLE, and DAVID DOBKIN Princeton University Measuring the similarity between 3D shapes is a fundamental problem, with applications in computer graphics, co

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        Source URL: graphics.stanford.edu

        - Date: 2008-09-26 22:36:24
          55SemEval-2014 Task 10: Multilingual Semantic Textual Similarity Eneko Agirrea , Carmen Baneab∗ , Claire Cardiec , Daniel Cerd , Mona Diabe∗ Aitor Gonzalez-Agirrea , Weiwei Guof , Rada Mihalceab , German Rigaua , Janyc

          SemEval-2014 Task 10: Multilingual Semantic Textual Similarity Eneko Agirrea , Carmen Baneab∗ , Claire Cardiec , Daniel Cerd , Mona Diabe∗ Aitor Gonzalez-Agirrea , Weiwei Guof , Rada Mihalceab , German Rigaua , Janyc

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          Source URL: anthology.aclweb.org

          - Date: 2014-08-08 12:42:58
            56Semantic Textual Similarity Mona Diab The George Washington University (joint effort with Eneko Agirre, Daniel Cer, Aitor Gonzalez-Agirre, Weiwei Guo)

            Semantic Textual Similarity Mona Diab The George Washington University (joint effort with Eneko Agirre, Daniel Cer, Aitor Gonzalez-Agirre, Weiwei Guo)

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            Source URL: jssp2013.fbk.eu

            - Date: 2013-12-11 04:16:26
              57Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction Barbara Plank∗ Center for Language Technology University of Copenhagen, Denmark

              Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction Barbara Plank∗ Center for Language Technology University of Copenhagen, Denmark

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              Source URL: aclweb.org

              - Date: 2013-07-25 09:24:48
                58OVERVIEW CRISPR Optimal Target Finder uses the TagScan1 genome searching algorithm to identify all sequences with similarity to CRISPR target queries in selected genomes. These sequences are filtered using algorithms bas

                OVERVIEW CRISPR Optimal Target Finder uses the TagScan1 genome searching algorithm to identify all sequences with similarity to CRISPR target queries in selected genomes. These sequences are filtered using algorithms bas

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                Source URL: flycrispr.molbio.wisc.edu

                - Date: 2015-07-08 10:08:39
                  59RUSSE: The First Workshop on Russian Semantic Similarity

                  RUSSE: The First Workshop on Russian Semantic Similarity

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                  Source URL: www.dialog-21.ru

                  - Date: 2015-05-06 12:48:39
                    60Comparison 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,

                    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