Semantic similarity

Results: 849



#Item
11Evaluating Three Corpus‑based Semantic Similarity Systems for Russian

Evaluating Three Corpus‑based Semantic Similarity Systems for Russian

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Source URL: www.dialog-21.ru

- Date: 2015-04-28 03:02:29
    12SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability Eneko Agirrea∗, Carmen Baneab∗ , Claire Cardiec , Daniel Cerd , Mona Diabe∗ , ˜ Aitor Gonzalez-Agirrea , Weiwei Guof

    SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability Eneko Agirrea∗, Carmen Baneab∗ , Claire Cardiec , Daniel Cerd , Mona Diabe∗ , ˜ Aitor Gonzalez-Agirrea , Weiwei Guof

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    Source URL: www.aclweb.org

    - Date: 2015-05-31 02:48:57
      13TakeLab: Systems for Measuring Semantic Text Similarity ˇ c, Goran Glavaˇs, Mladen Karan, Frane Sari´ ˇ Jan Snajder, and Bojana Dalbelo Baˇsi´c

      TakeLab: Systems for Measuring Semantic Text Similarity ˇ c, Goran Glavaˇs, Mladen Karan, Frane Sari´ ˇ Jan Snajder, and Bojana Dalbelo Baˇsi´c

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      Source URL: www.aclweb.org

      - Date: 2012-05-27 07:24:53
        14Similarity 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.silccenter.org

        - Date: 2010-05-18 14:13:45
          15NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity John P. McCrae and Kartik Asooja and Nitish Aggarwal and Paul Buitelaar Insight Centre for Data Analytics National Univer

          NUIG-UNLP at SemEval-2016 Task 1: Soft Alignment and Deep Learning for Semantic Textual Similarity John P. McCrae and Kartik Asooja and Nitish Aggarwal and Paul Buitelaar Insight Centre for Data Analytics National Univer

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          Source URL: aclweb.org

          - Date: 2016-06-28 01:50:27
            16Human Associations and DBpedia Don’t Discard Wikilinks Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, and Andreas Dengel 1  2

            Human Associations and DBpedia Don’t Discard Wikilinks Jörn Hees, Rouven Bauer, Joachim Folz, Damian Borth, and Andreas Dengel 1 2

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            Source URL: joernhees.github.io

            Language: English - Date: 2016-07-26 13:26:14
            17Visual and Semantic Similarity in ImageNet Thomas Deselaers1,2 and Vittorio Ferrari1 2 1

            Visual and Semantic Similarity in ImageNet Thomas Deselaers1,2 and Vittorio Ferrari1 2 1

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            Source URL: thomas.deselaers.de

            Language: English - Date: 2014-10-11 09:29:31
            18Information Retrieval by Semantic Similarity Angelos Hliaoutakis1 , Giannis Varelas1 , Epimeneidis Voutsakis1 , Euripides G.M. Petrakis1? , and Evangelos Milios2 1  Dept. of Electronic and Computer Engineering

            Information Retrieval by Semantic Similarity Angelos Hliaoutakis1 , Giannis Varelas1 , Epimeneidis Voutsakis1 , Euripides G.M. Petrakis1? , and Evangelos Milios2 1 Dept. of Electronic and Computer Engineering

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            Source URL: www.intelligence.tuc.gr

            Language: English - Date: 2011-12-08 06:07:25
            199. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014

            9. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014

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            Source URL: nl.ijs.si

            Language: English - Date: 2014-10-19 11:19:10
            20Digital prediction software is featured in international market Synaption platform is able to analyze large data to anticipate important scenarios Search engine innovation. This has been the main goal of most technology

            Digital prediction software is featured in international market Synaption platform is able to analyze large data to anticipate important scenarios Search engine innovation. This has been the main goal of most technology

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            Source URL: mb.cision.com

            Language: English - Date: 2016-08-09 05:11:47