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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
5 Research products, page 1 of 1

  • Digital Humanities and Cultural Heritage
  • Research data
  • Research software
  • 2018-2022
  • Open Source
  • European Commission

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  • Open Source English
    Authors: 
    Nan, Bai; Renqian, Luo;
    Publisher: Zenodo
    Project: EC | HERILAND (813883), EC | HERILAND (813883)

    WHOSe Heritage: Classification of UNESCO World Heritage "Outstanding Universal Value" Documents with Smoothed Labels This repository provides the supplemental materials for reproducing the results of the above-mentioned paper as submitted to arXiv preprint server, including both models and results.

  • Research software . 2019
    Open Source R
    Authors: 
    Davis, Sean;
    Publisher: bio.tools
    Project: EC | SOUND (633974), NIH | Accelerating Cancer Genom... (1U01CA214846-01), NIH | Bioconductor: An Open Com... (5U41HG004059-10), NIH | ADDRESSING THE ISSUE OF G... (1R01HG002020-01), NIH | Cancer Genomics:Integrati... (5U24CA180996-05)

    Package that facilitates access to extensive metadata in computable form covering the Bioconductor package ecosystem, facilitating downstream applications such as custom reporting, data and text mining of Bioconductor package text descriptions, graph analytics over package dependencies, and custom search approaches.

  • Research software . 2019
    Open Source PHP
    Authors: 
    Bossy, Robert;
    Publisher: bio.tools
    Project: EC | OpenMinTeD (654021)

    Text mining tool for extracting information about microbial biodiversity in food.

  • Research software . 2018
    Open Source
    Authors: 
    Jensen, Lars Juhl;
    Publisher: bio.tools
    Project: EC | MARBIGEN (264089)

    ORGANISMS is a weekly updated web resource that facilitates taxonomy-aware search and retrieval of articles. To this end, the the resource performs named entity recognition of terms from the NCBI Taxonomy on PubMed abstracts. The resource further provides download files of organism-disease and organism-tissue associations extracted through automatic text mining.

  • Research software . 2018
    Open Source
    Authors: 
    Jensen, Lars Juhl;
    Publisher: bio.tools
    Project: EC | ASSET (259348)

    DISEASES is a weekly updated web resource that integrates evidence on disease-gene associations from automatic text mining, manually curated literature, cancer mutation data, and genome-wide association studies. We further unify the evidence by assigning confidence scores that facilitate comparison of the different types and sources of evidence.