Suchergebnisse - "[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing"

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    Sentiment analysis on social media for stock movement prediction von Nguyen, Thien Hai, Shirai, Kiyoaki, Velcin, Julien

    ISSN: 0957-4174, 1873-6793
    Veröffentlicht: Elsevier Ltd 30.12.2015
    Veröffentlicht in Expert systems with applications (30.12.2015)
    “… •A novel method for predicting stock price movement was presented.•Topics and sentiments of them were extracted from social media as the feature.•Two methods …”
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    Universal Dependencies for Mandarin Chinese von Rafaël Poiret, Tak-Sum Wong, John Lee, Kim Gerdes, Herman Leung

    ISSN: 1574-020X, 1574-0218
    Veröffentlicht: Springer Science and Business Media LLC 24.11.2021
    Veröffentlicht in Language Resources and Evaluation (24.11.2021)
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    Preparing Big Manuscript Data for Hierarchical Clustering with Minimal HTR Training von Perdiki, Elpida

    ISSN: 2416-5999, 2416-5999
    Veröffentlicht: INRIA 20.12.2023
    Veröffentlicht in Journal of data mining and digital humanities (20.12.2023)
    “… HTR (Handwritten Text Recognition) technologies have progressed enough to offer high-accuracy results in recognising handwritten documents, even on a …”
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    Automatic medieval charters structure detection : A Bi-LSTM linear segmentation approach von Torres Aguilar, Sergio, Chastang, Pierre, Tannier, Xavier

    ISSN: 2416-5999, 2416-5999
    Veröffentlicht: INRIA 30.10.2022
    Veröffentlicht in Journal of data mining and digital humanities (30.10.2022)
    “… This paper presents a model aiming to automatically detect sections in medieval Latin charters. These legal sources are some of the most important sources for …”
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    Leveraging Concepts in Open Access Publications von Andrea Bertino, Luca Foppiano, Laurent Romary, Pierre Mounier

    ISSN: 2416-5999, 2416-5999
    Veröffentlicht: Nicolas Turenne 01.06.2020
    Veröffentlicht in Journal of data mining and digital humanities (01.06.2020)
    “… This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital …”
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    Leveraging Concepts in Open Access Publications von Bertino, Andrea, Foppiano, Luca, Romary, Laurent, Mounier, Pierre

    ISSN: 2416-5999, 2416-5999
    Veröffentlicht: INRIA 15.06.2020
    Veröffentlicht in Journal of data mining and digital humanities (15.06.2020)
    “… This paper addresses the integration of a Named Entity Recognition and Disambiguation (NERD) service within a group of open access (OA) publishing digital …”
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    Modular Ontology Learning with Topic Modelling over Core Ontology von Xu, Ziwei, Harzallah, Mounira, Guillet, Fabrice, Ichise, Ryutaro

    ISSN: 1877-0509, 1877-0509
    Veröffentlicht: Elsevier BV 01.01.2019
    Veröffentlicht in Procedia Computer Science (01.01.2019)
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    Intertextual Pointers in the Text Alignment Network von Joel Kalvesmaki

    ISSN: 2416-5999, 2416-5999
    Veröffentlicht: Nicolas Turenne 01.10.2017
    Veröffentlicht in Journal of data mining and digital humanities (01.10.2017)
    “… The Text Alignment Network (TAN) is a suite of XML encoding formats intended to serve anyone who wishes to encode, exchange, and study multiple versions of …”
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    Intertextual Pointers in the Text Alignment Network von Kalvesmaki, Joel

    ISSN: 2416-5999, 2416-5999
    Veröffentlicht: INRIA 27.10.2017
    Veröffentlicht in Journal of data mining and digital humanities (27.10.2017)
    “… The Text Alignment Network (TAN) is a suite of XML encoding formats intended to serve anyone who wishes to encode, exchange, and study multiple versions of …”
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    Journal Article
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    HistoInformatics2021: The 6th International Workshop on Computational History von Sumikawa, Yasunobu, Ikejiri, Ryohei, Doucet, Antoine, Pfanzelter, Eva, Hasanuzzaman, Mohammed, Dias, Gael, Milligan, Ian, Jatowt, Adam

    Veröffentlicht: IEEE 01.09.2021
    “… This paper discusses HistoInformatics2021 workshop (the 6th International Workshop on Computational History) held in conjunction with the JCDL2021 conference …”
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    The structure of unseen trigrams and its application to language models: A first investigation von Lepage, Y, Gosme, J, Lardilleux, A

    ISBN: 9781424478217, 1424478219
    Veröffentlicht: IEEE 01.10.2010
    “… In a series of preparatory experiments in 4 languages on subsets of the Europarl corpus, we show that a large number of unseen trigrams can be reconstructed by …”
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