Filters (4)
Download Results
9 research outcomes, page 1 of 1
  • publication . Article . 2016
    Open Access English
    Authors:
    Piotr Przybyła; Matthew Shardlow; Sophie Aubin; Robert Bossy; Richard Eckart de Castilho; Stelios Piperidis; John McNaught; Sophia Ananiadou;
    Persistent Identifiers
    Project: UKRI | Enriching Metabolic PATHw... (BB/M006891/1), EC | OpenMinTeD (654021)

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative ...

    Add to ORCIDorcid
  • publication . Conference object . 2016
    Open Access English
    Authors:
    Zhao, Zhiming; Martin, Paul; de Laat, Cees; Jones, Andrew; Taylor, Ian; Hardisty, Alex; Atkinson, Malcolm; Jeffery, Keith; Zuiderwijk-van Eijk, Anneke; Yin, Yi; ...
    Publisher: Zenodo
    Project: EC | VRE4EIC (676247), EC | SWITCH (643963), EC | ENVRI PLUS (654182)

    Data-centric approaches play an increasing role in many scientific domains, but in turn rely increasingly heavily on advanced research support environments for coordinating research activities, providing access to research data, and choreographing complex experiments. C...

  • publication . Preprint . 2020
    Open Access English
    Authors:
    Kocmi, Tom; Limisiewicz, Tomasz; Stanovsky, Gabriel;
    Project: EC | Bergamot (825303)

    Gender bias in machine translation can manifest when choosing gender inflections based on spurious gender correlations. For example, always translating doctors as men and nurses as women. This can be particularly harmful as models become more popular and deployed within...

  • publication . Contribution for newspaper or weekly magazine . Conference object . Preprint . 2017
    Open Access English
    Authors:
    Jindřich Libovický; Jindřich Helcl;
    Project: EC | QT21 (645452)

    Comment: 7 pages; Accepted to ACL 2017

    Add to ORCIDorcid
  • publication . Conference object . Part of book or chapter of book . 2014
    Open Access English
    Authors:
    Mariani, Joseph,; Rehm, Georg; Uszkoreit, Hans;
    Persistent Identifiers
    Publisher: HAL CCSD
    Project: EC | T4ME NET (249119)

    This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics. This pape...

    Add to ORCIDorcid
  • publication . Report . 2019
    English
    Authors:
    Tahko, Tuuli; Zehavi, Ora; Lhotak, Martin; Romanova, Natasha; Clivaz, Claire; Ros, Salvador; Raciti, Marco;
    Publisher: HAL CCSD
    Project: EC | Locus Ludi (741520), EC | DESIR (731081)

    The DESIR project sets out to strengthen the sustainability of DARIAH and firmly establish it as a long-term leader and partner within arts and humanities communities. The project was designed to address six core infrastructural sustainability dimensions and one of thes...

  • publication . Conference object . Preprint . Contribution for newspaper or weekly magazine . 2019
    Open Access
    Authors:
    Jindřich Helcl; Jindřich Libovický; Martin Popel;
    Project: EC | Bergamot (825303)

    Comment: WMT19

    Add to ORCIDorcid
  • publication . Conference object . 2018
    Open Access English
    Authors:
    Eckart de Castilho, Richard; Dore, Giulia; Margoni, Thomas; Labropoulou, Penny; Gurevych, Iryna;
    Project: EC | OpenMinTeD (654021)

    A significant concern in processing natural language data is the often unclear legal status of the input and output data/resources. In this paper, we investigate this problem by discussing a typical activity in Natural Language Processing: the training of a machine lear...

  • publication . Conference object . Contribution for newspaper or weekly magazine . Preprint . 2018
    Open Access
    Authors:
    Jindřich Helcl; Jindřich Libovický;
    Publisher: Association for Computational Linguistics
    Project: EC | QT21 (645452)

    In this paper, we describe our submissions to the WMT17 Multimodal Translation Task. For Task 1 (multimodal translation), our best scoring system is a purely textual neural translation of the source image caption to the target language. The main feature of the system is...

    Add to ORCIDorcid
9 research outcomes, page 1 of 1