The main area of my research is natural language processing, especially cross-lingual semantics. This means that I am creating models that make it possible to use data in a resource-rich language (typically English) to create (or improve) models for a language for which there is not much training data (for example, Czech). I have been doing this research for four years. Besides that, I focus on machine learning methods, especially on deep neural networks.
Research and Bibliography
KONOPÍK, M., PRAŽÁK, O., STEINBERGER, D., BRYCHCÍN, T. UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks. In The 10th International Workshop on Semantic Evaluation. Stroudsburg: ACL, 2016. s. 803-808. ISBN: 978-1-941643-95-2
KONOPÍK, M., PRAŽÁK, O. Information Sources of Word Semantics Methods. In Speech and Computer. Cham: Springer, 2015. s. 243-250. ISBN: 978-3-319-23131-0
Tel.: +420 377 63 2151
The Robotic Reporter: Automated journalism and the redefinition of labor, compositional forms, and journalistic authority
Matt Carlson, Digital Journalism, 2015