Krzysztof Jassem, PhD, prof. AMU. He conducts research on tools for Natural Language Processing. His other field of interest is didactics of computer science. He is a co-founder and a board member of an IT company, Poleng, which is a part of a PWN Group, a major Polish publishing scientific enterprise. He has headed a number of research and development projects, which required co-operation of academic and commercial units.
Filip Graliński, PhD. His main area of expertise is information retrieval and natural language processing for historical texts (including noisy OCR-ed texts). Also interested in machine translation and natural language understanding. A Linux and Haskell hacker. Wrote a book on urban legends and found Hilda Stockenius.
Rafał Jaworski, PhD. He is interested in any kind of natural language processing, though his main areas of interest include computer-assisted translation and machine learning techniques in text classification. He keeps an open mind towards interdisciplinary research, especially with linguists. This open mind already resulted in cooperation with University in Zagreb, as well as with Institute of Linguistcs and Chair of Oriental Studies (both AMU).
Paweł Skórzewski, PhD. PhD in computer science and MS in mathematics. His scientific interests cover the fields of computational linguistics, artificial intelligence and natural language processing. He conducted research on parsing of free word order languages with probabilistic grammars and its applications in machine translation systems. His research topics include also finite state machines and dialog management.
Roman Grundkiewicz, PhD candidate. He is interested mainly in natural language processing and text mining. Currenlty, he is finishing his PhD thesis on automated grammatical and usage error correction for English-as-a-second-language learners. He is a principle of NCN research grant on automated text correction for Polish. In his research, he focuses on the application of a variety of machine learning methods.
Tomasz Dwojak, PhD candidate. His scientific interests are focused on machine translation, especially phrased-based and neural-based approaches. His last work is concerned on applying a neural network component into the phrased-based machine translation models. Together with M. Junczys-Dowmunt, he won the WMT 2016 shared tasks for best Russian-English translation system.
Wojciech Włodarczyk, PhD candidate. As part of the work he focuses on designing and creating crowdsourcing systems used for acquiring linguistic resources. His scientific interests covers methods of automatic language resources verification, as well as the possibility of using machine learning techniques in order to improve performance of crowdsourcing systems. He is interested in games development, artificial intelligence used in games, and the use of games in scientific research.
Tomasz Ziętkiewicz, PhD candidate.