Published multiple papers including 'Barriers and enabling factors for error analysis in NLG research' accepted by the North European Journal of Language Technology, 'Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models' accepted by EACL, and 'Learning Interpretable Latent Dialogue Actions With Less Supervision' accepted by AACL-IJCNLP. Also, he was awarded an ERC grant titled Next-Generation Natural Language Generation.
Research Experience
Worked at the Interaction Lab at Heriot-Watt University in Edinburgh and co-advised the Heriot-Watt University team in the Amazon Alexa Prize chatbot competition. Currently involved in the NG-NLG ERC project (2022-2027), which aims to improve natural language generation by combining neural and symbolic methods.
Education
He earned his PhD on language generation for dialogue systems from the Institute of Formal and Applied Linguistics, Charles University in Prague.
Background
He is an Assistant Professor at the Institute of Formal and Applied Linguistics, Charles University in Prague, focusing on machine learning and deep learning for natural language processing, especially neural language models for natural language generation (NLG) and human-computer dialogue systems.
Miscellany
His interests also extend to various research projects such as education chatbot assistants and automatically generating a theatre play.