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Digital Humanities and Cultural Heritage Publications Research data Zenodo FI

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Digital Humanities and Cultural Heritage Publications Research data Zenodo FI

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21 research outcomes, page 1 of 3
  • publication . Preprint . Article . 2020
    Open Access English
    Authors:
    Eva Pfanzelter; Sarah Oberbichler; Jani Marjanen; Pierre-Carl Langlais; Stefan Hechl;
    Publisher: HAL CCSD
    Project: EC | NewsEye (770299)

    <jats:p>International audience</jats:p> <jats:p xml:lang="en"> Many libraries offer free access to digitised historical newspapers via user interfaces. After an initial period of search and filter options as the only features, the availability of more advanced tools and...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Matej Martinc; Syrielle Montariol; Elaine Zosa; Lidia Pivovarova;
    Project: EC | EMBEDDIA (825153), EC | NewsEye (770299)

    The way the words are used evolves through time, mirroring cultural or technological evolution of society. Semantic change detection is the task of detecting and analysing word evolution in textual data, even in short periods of time. In this paper we focus on a new set...

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  • research data . 2020
    Open Access
    Authors:
    Tallavaara, Miikka; Jørgensen, Erlend Kirkeng;
    Publisher: Zenodo
    Project: AKA | Human population dynamics... (317567)

    <p>This submission contains data and R-code that enable to reproduce the data manipulations and analyses in the paper &ldquo;Why are population growth rate estimates of past and present hunter-gatherers so different?&rdquo; by Miikka Tallavaara and Erlend Kirkeng J&osla...

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  • publication . Conference object . 2019
    Open Access English
    Authors:
    Porzilli, Sara; Ylimaula, Anna-Maija;
    Publisher: Zenodo
    Project: EC | PresWoodenHeritage (746215)

    This contribution wants to address the obvious need to rewrite some central restoration guidelines still prevailing, in spite of the recent technological advancements provided by new and radical documentation technologies. Traces of the past, old buildings, traditional ...

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  • publication . Preprint . Research . Article . Other literature type . 2019
    Open Access English
    Authors:
    Umut Sulubacak; Ozan Caglayan; Stig-Arne Grönroos; Aku Rouhe; Desmond Elliott; Lucia Specia; Jörg Tiedemann;
    Project: EC | MeMAD (780069), EC | FoTran (771113), EC | MultiMT (678017)

    Comment: 34 pages, 4 tables, 8 figures. Submitted (Nov 2019) to the Machine Translation journal (Springer)

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  • research data . 2019
    Open Access English
    Authors:
    Tiedemann, Jörg; Scherrer, Yves;
    Persistent Identifiers
    Publisher: Zenodo
    Project: EC | MeMAD (780069), EC | FoTran (771113)

    {"references": ["Scherrer, Tiedemann and Lo\u00e1iciga: \"Analysing concatenation approaches to document-level NMT in two different domains\", in Proceedings of DiscoMT2019 at EMNLP 2019, Hong-Kong"]}

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  • publication . Conference object . Article . 2019
    Open Access English
    Authors:
    Lidia Pivovarova; Jani Marjanen; Elaine Zosa;
    Project: EC | EMBEDDIA (825153), EC | NewsEye (770299)

    This paper is a part of a collaboration between computer scientists and historians aimed at development of novel tools and methods to improve analysis of historical newspapers. We present a case study of ideological terms ending with -ism suffix in nineteenth century Fi...

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  • publication . Conference object . 2019
    Open Access English
    Authors:
    Zosa, Elaine; Granroth-Wilding, Mark; Department of Computer Science, University of Helsinki, Finland;
    Publisher: Zenodo
    Project: EC | NewsEye (770299), EC | EMBEDDIA (825153)

    Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data.<br> Current DTMs are applicable only to monolingual datasets. In this paper we present the multilingual<br> dynamic topic model (ML-DTM), a novel topic model that combines DTM wi...

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  • research data . 2019
    Open Access English
    Authors:
    Tiedemann, Jörg; Scherrer, Yves;
    Publisher: Zenodo
    Project: EC | MeMAD (780069), EC | FoTran (771113)

    {"references": ["Scherrer, Tiedemann and Lo\u00e1iciga: \"Analysing concatenation approaches to document-level NMT in two different domains\", in Proceedings of DiscoMT2019 at EMNLP 2019, Hong-Kong"]}

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  • publication . Conference object . Contribution for newspaper or weekly magazine . Article . Preprint . 2017
    Open Access
    Authors:
    Marco Damonte; Shay B. Cohen; Giorgio Satta;
    Publisher: Association for Computational Linguistics
    Project: EC | SUMMA (688139)

    Meaning Representation (AMR) is a semantic representation for natural language that embeds annotations related to traditional tasks such as named entity recognition, semantic role labeling, word sense disambiguation and co-reference resolution. We describe a transition-...

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21 research outcomes, page 1 of 3