Back GeCKo symposium: Integrating Generic and Contextual Knowledge

GeCKo symposium: Integrating Generic and Contextual Knowledge




GeCKo was turned into an online event in light of COVID-19. Pre-recorded keynotes will be available from May 11 on. Registration is free. See the website for more information.


Integrating generic and contextual knowledge remains a challenging task in Computational Linguistics and interfacing fields. While current data-driven models excel in capturing broad regularities, they can fail to apply this information to specific situations. For the GeCKo symposium we seek contributions dealing with this issue, at the crossroads of Computational Linguistics, Machine Learning, Linguistics, and Cognitive Science; including areas such as Language and Vision, and Machine Translation.


Aishwarya Agrawal, DeepMind Raquel Fernandez, University of Amsterdam Aurelie Herbelot, University of Trento Shalom Lappin, University of Gothenburg Tomas Mikolov, Facebook AI Research Aida Nematzadeh, DeepMind Rico Sennrich, University of Zurich

  • Registration opens: April 22
  • Keynote talks available: May 11
  • GeCKo symposium: May 18th 2020
Laura Aina, Gemma Boleda, Thomas Brochhagen, Desmond Elliott, Carina Silberer, Ionut-Teodor Sorodoc, Matthijs Westera, Sina Zarrieß.
  • the AMORE project, European Research Council (ERC) project under the European Union's Horizon 2020 research and innovation programme (grant agreement No 715154);
  • the COLT research group, with funding from the Catalan government, SGR 2017 1575.
Please feel free to get in touch with us at [email protected]



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