Press coverage "Evaluating named entity recognition tools for extracting social networks from novels"

Pers / media: Onderzoek

Periode18 apr 2019

Mediabijdrages

7

Mediabijdrages

  • TitelOffbeat: Why language technology can’t handle Game of Thrones (yet)
    Mate van erkenningInternationaal
    Media naam/outletTunise Soir News
    MediatypeOnline journalistiek
    Release datum18/04/2019
    BeschrijvingResearchers from the Vrije Universiteit Amsterdam and the Dutch Royal Academy’s Humanities Cluster evaluated four state-of-the-art tools for recognising names in text, to assess and improve their performance on popular fiction. They find solutions to boost the tools’ capability to recognise names in one novel from an accuracy of 7% to 90%.
    URLwww.tunisiesoir.com/top-news/offbeat-why-language-technology-cant-handle-game-of-thrones-yet-15530-2019/
    PersonenMarieke van Erp
  • TitelWhat are natural language processing tools? How can they be used on novels and Game of Thrones?
    Mate van erkenningInternationaal
    Media naam/outletScitech EUROPA
    MediatypeOnline journalistiek
    Release datum18/04/2019
    BeschrijvingWhat are natural language processing tools? A new study has analysed how they can be used to create social networks out of literary works including Game of Thrones.
    URLhttps://www.scitecheuropa.eu/natural-language-processing/94442/
    PersonenMarieke van Erp
  • TitelGame of Thrones: Why Language Technology cannot handle it (Yet)
    Mate van erkenningInternationaal
    Media naam/outletScience Times
    MediatypeOnline journalistiek
    Release datum18/04/2019
    BeschrijvingThe evaluation researchers from Vrije Universiteit Amsterdam and the Humanities Cluster of Dutch Royal Academy was done on four state-of-the-art tools for recognizing names in the text, to assess and improve their performance on popular fiction. They discovered solutions to boost the capacity of the machines in understanding names in one novel from the accuracy of seven percent to 90 percent.
    URLhttps://www.sciencetimes.com/articles/20393/20190418/game-of-thrones-why-language-technology-cannot-handle-it-yet.htm
    PersonenMarieke van Erp
  • TitelLanguage detecting technology struggles with George R. R. Martin's Game of Thrones because the bizarre names don't behave 'normally'
    Mate van erkenningInternationaal
    Media naam/outletDaily Mail
    MediatypeOnline journalistiek
    LandVerenigd Koninkrijk
    Release datum18/04/2019
    BeschrijvingQuirky names, such as Daenerys, don't look or resemble most names
    Algorithms are developed and trained to detect names by studying newspapers
    A vastly different writing style is found in non-fiction novels and makes them hard to detect
    URLhttps://www.dailymail.co.uk/sciencetech/article-6937427/Language-detecting-technology-struggles-George-R-R-Martins-Game-Thrones.html
    PersonenMarieke van Erp
  • TitelWhy language technology can't handle Game of Thrones (yet)
    Mate van erkenningInternationaal
    Media naam/outletScience Daily
    MediatypeOnline journalistiek
    Release datum18/04/2019
    BeschrijvingResearchers have performed a thorough evaluation of four different name recognition tools on popular 40 novels, including A Game of Thrones. Their analyses highlight types of names and texts that are particularly challenging for these tools to identify as well as solutions for mitigating this.
    URLhttps://www.sciencedaily.com/releases/2019/04/190418080816.htm
    PersonenMarieke van Erp
  • TitelWhy language technology can't handle Game of Thrones (yet)
    Mate van erkenningInternationaal
    Media naam/outletTech Xplore
    MediatypeOnline journalistiek
    Release datum18/04/2019
    BeschrijvingResearchers from the Vrije Universiteit Amsterdam and the Dutch Royal Academy's Humanities Cluster evaluated four state-of-the-art tools for recognising names in text, to assess and improve their performance on popular fiction. They find solutions to boost the tools' capability to recognise names in one novel from an accuracy of 7% to 90%.
    URLhttps://techxplore.com/news/2019-04-language-technology-game-thrones.html
    PersonenMarieke van Erp
  • TitelPRESS RELEASE: Why language technology can’t handle Game of Thrones (yet)
    Mate van erkenningInternationaal
    Media naam/outletPeerJ Press room
    MediatypeOverig
    Release datum18/04/2019
    BeschrijvingResearchers from the Vrije Universiteit Amsterdam and the Dutch Royal
    Academy’s Humanities Cluster evaluated four state-of-the-art tools for
    recognising names in text, to assess and improve their performance on popular
    fiction. They find solutions to boost the tools’ capability to recognise names in
    one novel from an accuracy of 7% to 90%.
    URLhttps://d2pdyyx74uypu5.cloudfront.net/pressReleases/2019/04/Press-Release-LanguageTechGOT.pdf
    PersonenMarieke van Erp