Search results for: SMART SUSTAINABLE CITIES - Bridge of Knowledge

Search

Search results for: SMART SUSTAINABLE CITIES

Filters

total: 1714
filtered: 59

clear all filters


Chosen catalog filters

  • Year of publication

  • Discipline

  • Administrative Unit

  • Open model

  • Data source

clear Chosen catalog filters

Search results for: SMART SUSTAINABLE CITIES

  • Elgold: gold standard, multi-genre dataset for named entity recognition and linking

    Open Research Data

    The dataset contains 276 multi-genre texts with marked named entities, which are linked to corresponding Wikipedia articles if available. Each entity was manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • The effect of interview location on the perception of Ecosystem Services provided by trees. A Polish case study.

    Open Research Data
    version 1.1 open access
    • A. Inglot
    • P. Przewoźna
    • M. Mielewczyk
    • K. Mączka
    • P. Matczak
    - series: Public Participation GIS study on Ecosystem Services provided by trees in Polish case studies.

    Several survey research methods are available to study attitudes towards the environment, including: CAWI (computer-assisted Internet interview), CATI (computer-assisted telephone interview), CAPI (computer-assisted personal interview), and PAPI (paper-pencil interview). An increasingly popular CAWI approach is the geo-questionnaire – an internet survey...

  • Elgold partial: News

    Open Research Data

    The dataset contains 37 English texts scrapped from news websites. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking...

  • Elgold partial: Automotive blogs

    Open Research Data

    The dataset contains 34 English texts scrapped from automotive blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and...

  • Elgold partial: Movie reviews

    Open Research Data

    The dataset contains 37 English texts with movie reviews. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Elgold partial: Job offers

    Open Research Data

    The dataset contains 34 English texts scrapped from the web portals offering job offers. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity...

  • Elgold partial: Scientific papers' abstracts

    Open Research Data

    The dataset contains 87 Scientific papers' abstracts in English randomly chosen from the folowing scientific disciplines: Biomedicine, Life Sciences, Mathematics, Medicine, Science, Humanities, Social Science.

  • Elgold partial: Amazon product reviews

    Open Research Data

    The dataset contains 34 Amazon product reviews in English. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.

  • Elgold partial: History blogs

    Open Research Data

    The dataset contains 13 texts from English history blogs. In each text, the named entities are marked. Each name entity is linked to the corresponding Wikipedia if possible. All entities were manually verified by at least three people, which makes the dataset a high-quality gold standard for the evaluation of named entity recognition and linking algorithms.