Semantic similarity

Results: 849



#Item
1SemEval-2016 Task 2: Interpretable Semantic Textual Similarity ˜ Eneko Agirre∗, Aitor Gonzalez-Agirre, Inigo Lopez-Gazpio Montse Maritxalar, German Rigau and Larraitz Uria IXA NLP group, University of the Basque Count

SemEval-2016 Task 2: Interpretable Semantic Textual Similarity ˜ Eneko Agirre∗, Aitor Gonzalez-Agirre, Inigo Lopez-Gazpio Montse Maritxalar, German Rigau and Larraitz Uria IXA NLP group, University of the Basque Count

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Source URL: adimen.si.ehu.es

Language: English - Date: 2016-09-02 12:43:44
    2Semantic Similarity Measurement and Geospatial Applications∗ Krzysztof Janowicz Institute for Geoinformatics

    Semantic Similarity Measurement and Geospatial Applications∗ Krzysztof Janowicz Institute for Geoinformatics

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    Source URL: geog.ucsb.edu

    Language: English - Date: 2011-07-21 01:37:03
      3Similarity judgments reflect both language and cross-language tendencies: Evidence from two semantic domains Naveen Khetarpal ()a Asifa Majid ()b Barbara Malt (barbara.malt@lehigh.

      Similarity judgments reflect both language and cross-language tendencies: Evidence from two semantic domains Naveen Khetarpal ()a Asifa Majid ()b Barbara Malt (barbara.malt@lehigh.

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      Source URL: www.spatiallearning.org

      Language: English - Date: 2010-05-18 14:13:45
        4SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity Peter Potash∗ , William Boag∗ , Alexey Romanov∗, Vasili Ramanishka, Anna Rumshisky Dept. of Computer Science University of Mas

        SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity Peter Potash∗ , William Boag∗ , Alexey Romanov∗, Vasili Ramanishka, Anna Rumshisky Dept. of Computer Science University of Mas

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        Source URL: www.cs.uml.edu

        - Date: 2016-07-21 18:55:04
          5A 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
            6SemEval-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
              7Semantic 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
                8Embedding 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
                  9RUSSE: 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
                    10Comparison 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