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 classesNPFL123 Dialogue systems


Students I co-supervise and co-supervised:

  • Shubham Agarwal (Ph.D. at Heriot-Watt, with Verena Rieser & Ioannis Konstas, since 2017)
  • Vojtěch Hudeček (Ph.D. at Charles Uni, with Zdeněk Žabokrtský, since 2018)
  • Zdeněk Kasner (Ph.D. at Charles Uni since 2019)
  • Sourabrata Mukherjee (Ph.D. at Charles Uni since 2019)
  • Tomáš Nekvinda (MSc. at Charles Uni from 2019)
  • Patrícia Schmidtová (completed BSc. at Charles Uni, with Vojtěch Hudeček, 2018–2019)
  • Jan Vainer (MSc. at Charles Uni from 2019)
  • Xinnuo Xu (Ph.D., CDT robotics, with Verena Rieser & Ioannis Konstas, since 2016)


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