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

Press/Media: Research

Period18 Apr 2019

Media contributions

7

Media contributions

  • TitleOffbeat: Why language technology can’t handle Game of Thrones (yet)
    Degree of recognitionInternational
    Media name/outletTunise Soir News
    Media typeOnline journalism
    Date18/04/2019
    DescriptionResearchers 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/
    PersonsMarieke van Erp
  • TitleWhat are natural language processing tools? How can they be used on novels and Game of Thrones?
    Degree of recognitionInternational
    Media name/outletScitech EUROPA
    Media typeOnline journalism
    Date18/04/2019
    DescriptionWhat 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/
    PersonsMarieke van Erp
  • TitleGame of Thrones: Why Language Technology cannot handle it (Yet)
    Degree of recognitionInternational
    Media name/outletScience Times
    Media typeOnline journalism
    Date18/04/2019
    DescriptionThe 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
    PersonsMarieke van Erp
  • TitleLanguage detecting technology struggles with George R. R. Martin's Game of Thrones because the bizarre names don't behave 'normally'
    Degree of recognitionInternational
    Media name/outletDaily Mail
    Media typeOnline journalism
    CountryUnited Kingdom
    Date18/04/2019
    DescriptionQuirky 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
    PersonsMarieke van Erp
  • TitleWhy language technology can't handle Game of Thrones (yet)
    Degree of recognitionInternational
    Media name/outletScience Daily
    Media typeOnline journalism
    Date18/04/2019
    DescriptionResearchers 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
    PersonsMarieke van Erp
  • TitleWhy language technology can't handle Game of Thrones (yet)
    Degree of recognitionInternational
    Media name/outletTech Xplore
    Media typeOnline journalism
    Date18/04/2019
    DescriptionResearchers 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
    PersonsMarieke van Erp
  • TitlePRESS RELEASE: Why language technology can’t handle Game of Thrones (yet)
    Degree of recognitionInternational
    Media name/outletPeerJ Press room
    Media typeOther
    Date18/04/2019
    DescriptionResearchers 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
    PersonsMarieke van Erp