Ondřej Dušek

office hours
email me to arrange a meeting
Malostranské náměstí 25
118 00 Praha 1
Czech Republic

Main Research Interests

  • Natural language generation
  • Spoken dialogue systems and chatbots
  • Machine learning
  • Machine translation



  • NaMuDDiS – Natural Multi-domain Dialogue Systems (Charles University funded, 2019-2021)


At Heriot-Watt University in Edinburgh (2016-2018):

During my Ph.D. study (2011-2016):

  • AdaNLG – adaptive natural language generator (2014-2016)
  • Vystadial – statistical spoken dialogue system (2013-2016)
  • QTLeap – semantic machine translation (2013-2016)
  • Khresmoi – medical information retrieval (working on machine translation, 2013-2014)
  • FAUST – improving machine translation fluency (2011-2013)


List of classesNPFL099 Statistical dialogue systemsNPFL123 Dialogue systems


Students I co-supervise and co-supervised:


2020/03/23: Verena Rieser and I were guests at the NLP Highlights podcast, and we talked about data-to-text generation. You can listen to the podcast on Soundcloud.

2020/03/03: I gave a short talk at the Czechbots chatbot meetup. You can find the slides here.

2020/02/18: Our undergrad Dialogue systems course started its 2020 run – lecture slides will appear on the course webpage.

2019/10/31: I presented 3 papers at INLG 2019: Neural Generation for Czech: Data and Baselines (work with Filip Jurčíček), Semantic Noise Matters for Neural Natural Language Generation (work with Dave Howcroft and Verena Rieser), and Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking) (work with Karin Sevegnani, Ioannis Konstas and Verena Rieser).

2019/10/03: We started teaching a new course on Statistical dialogue systems – lecture slides will appear on the course webpage.

2019/09/13: Our paper User evaluation of a multi-dimensional statistical dialogue system (with Simon Keizer, Xingkun Liu and Verena Rieser) was presented at SIGDIAL in Stockholm and is now online on arXiv.

2019/07/10: Our paper analyzing the E2E NLG Challenge results is now published in Computer Speech and Language and available online as open access.


Tools I'm participating on

  • Alex – spoken dialogue system framework
  • Flect – statistical morphology generation
  • MTMonkey – machine translation web services infrastructure
  • RatPred – trainable NLG quality estimation
  • TGen – a statistical natural language generator
  • Treex – a modular NLP toolkit

Personal webpage