Department of Artificial Intelligence
In the Department of Artificial Intelligence, research is conducted by six groups working in the fields of discourse analysis, computational intelligence, intelligent learning support systems, computational linguistics, language modelling, and natural phenomena modelling. The department staff are experienced in running both scientific projects and research and development projects, and cooperate with businesses on the implementation of the results of research in industry. They also teach young researchers in areas related to artificial intelligence with the use of machine learning methods.
Scope of research:
- Evaluation of the results of machine learning methods
- Computational intelligence
- Intelligent learning support systems
- Language modelling
- Processing of historical texts
- Knowledge representation
- Systems supporting the decision-making process in cases of imprecise and incomplete information
- Systems with linguistic competence
- Machine translation
- Semantic search engines
The staff of the Department of Artificial Intelligence collaborate with the following research centres under joint projects:
- Military University of Technology in Warsaw
- Institute of Computer Science Polish Academy of Science in Warsaw
- Wroclaw University of Science and Technology
- Silesian University of Technology in Gliwice
They carry out interdisciplinary research in cooperation with other faculties of Adam Mickiewicz University:
- Faculty of Modern Languages
Cooperation with business
Artificial intelligence, machine learning, man–machine communication, dialogue systems and machine translation are areas with high research and development (R&D) potential. Employees of the Department of Artificial Intelligence are experienced in industrial research and experimental development in these fields. Solutions that have been implemented in industry include:
- Intelligent systems to support medical diagnostics
- Image processing and analysis (including the study of perceptual quality assessment of multimedia materials – quality assessment metrics)
- Application of image recognition in recommendation systems
- The use of intelligent systems in the assessment of industrial manufacturing processes (management of the industrial production process and assessment of manufacturing processes)
- Computational methods in natural language processing
- Machine translation
- Intelligent tutoring systems
- Semantic search engines
Cooperation with Samsung Electronics Ltd
The Department of Artificial Intelligence cooperates with Samsung Electronics Ltd in the field of natural language processing.
The collaboration began with a three-month pilot project called Machine Translation Modules, which ran between 1 October 2012 and 28 February 2013. The aim of the project was to apply the tools developed at AMU in the research project “Publicly available tools for the automatic processing of the Polish language” in the development of new algorithms for use in automatic translation, such as:
- Bilingual corpora alignment at the sentence level
- Bilingual corpora alignment at the word level
- Generation of correctly constructed sentences from a token list returned by the statistical automatic translation system.
Since 2015, AMU and Samsung Electronics have cooperated on annual projects called “Research in the field of Natural Language Processing 2015, 2016, 2017, 2018, 2019, 2020”. On AMU’s side, the projects are led by the head of the Department of Artificial Intelligence, Professor Krzysztof Jassem, and involve other employees of the Department as well as PhD and MSc students.
The goal of the projects is to develop speech recognition algorithms for four European languages (English, French, Spanish and German) and to construct speech understanding modules in these languages. Deep machine learning and finite-state methods are applied in the experiments. The solutions developed under the projects are implemented in Samsung mobile devices.
The department-wide Seminar of the Department of Artificial Intelligence takes place on Tuesdays at 11:00 in room A0-13 (in the so-called Professors’ Club). It is organized by Patryk Żywica.
Individual research groups also hold their own seminars:
- Seminar on Intelligent Learning Support Systems
The seminar is held on Tuesdays at 9:00, room B3-19,20. It is organized by Jacek Marciniak.
- Seminar on Computational Intelligence
The seminar is held on Tuesdays at 10:00. It is chaired by Maciej Wygralak.
- Seminar on Language Modelling and Discourse Analysis
The joint seminar of the Language Modelling and Discourse Analysis groups is held on Tuesdays at 11:00. It is chaired by Filip Graliński and organized by Paweł Skórzewski.
- Seminar on Natural Phenomena Modelling
The seminar is held on Tuesdays at 12:30. It is chaired by Wojciech Pałubicki.
PhD theses are supervised within the Doctoral School of Adam Mickiewicz University and under the implementation doctorates programme. Within the Doctoral School, the research is supervised by department staff members, and the topics lie within the scope of their research interests. Implementation doctorates are supervised by department staff members in cooperation with businesses carrying out research and development activities, such as Samsung Electronics, OLX, and Applica.ai.
Topics of master theses supervised by department staff:
Associate Professor Krzysztof Dyczkowski
- Intelligent decision-making systems (on the basis of uncertain data)
- Data analysis in sport (football)
Dr Filip Graliński
- Language modelling for grammatical correction and machine translation
- Text processing in the diachronic dimension
Professor Krzysztof Jassem
- Application of machine learning methods in natural language processing
- Automatic translation
- IT educational tools
Associate Professor Jacek Marciniak
- Intelligent tutoring systems (ITS)
- Ontologies in knowledge modelling
Dr Wojciech Pałubicki
- Computer graphics
- Mathematical modelling of biological/physical processes
- Application of deep neural networks in agriculture and biology
Dr Anna Stachowiak
Professor Maciej Wygralak
- Information imprecision and fuzzy sets
- Rule-based systems
- Methods of collective decision-making
Courses run by the department staff within the engineering study programme and master study programme in computer science at the Faculty of Mathematics and Computer Science:
- Object-oriented analysis and design
- Financial arithmetic and portfolio analysis
- Cloud computing with AWS
- Data gathering and data mining
- Software engineering
- Laboratory of fuzzy systems
- Laboratory of computer vision
- Modelling and processing of imprecise information
- Information modelling in economic decision-making models
- Foundations of programming
- Engineering project
- Programming laboratory
- Natural language processing
- SQL in data analysis
- Information systems
- Intelligent systems
- Operating systems
- Artificial intelligence
- Internet technologies
- XML technologies
- Development of information systems
- Machine learning
- Elements of databases
- Computer science project management
The Department of Artificial Intelligence came into being on 1 January 2020 as a result of the merger of three departments:
- Department of Computer Linguistics and Artificial Intelligence
The Department of Computer Linguistics and Artificial Intelligence was established in 1993 and was headed by Professor Zygmunt Vetulani.
- Department of Imprecise Information Processing Methods
The Department of Imprecise Information Processing Methods was separated in 2010 from the Department of Numerical Methods. It was headed by Professor Maciej Wygralak. The Department’s general research fields were intelligent systems and intelligent computing with special reference to information imprecision and incompleteness.
Old department website
- Department of Natural Language Processing
The history of this department dates back to 2010 when the Department of Imprecise Information Processing Methods and the Information Systems Laboratory separated from the Department of Numerical Methods. Professor Krzysztof Jassem became the head of the Information Systems Laboratory. In 2017 the Information Systems Laboratory was transformed into the Department of Natural Language Processing.
The research conducted in the Laboratory, and then in the Department, focused mainly on the fields of computer linguistics and natural language processing. In particular the research included parsing, machine translation (statistical, rule-based and example-based translation), machine learning, information retrieval and extraction (text mining, named entity recognition), question answering, lexicography, automatic creation of bilingual dictionaries, word alignment models, sentence segmentation, and automatic spelling and grammatical correction.
The Department includes the following research groups:
- Discourse Analysis
- Computational Intelligence
- Intelligent Tutoring Systems
- Computational Linguistics
- Language Modelling
- Natural Phenomena Modelling
The group focuses on discourse modelling techniques and their application in dialogue systems and digital humanities research.
Intelligent systems and intelligent computing with special reference to information imprecision and incompleteness.
- Professor Maciej Wygralak – group leader
- Associate Professor Krzysztof Dyczkowski – group leader
- Dr Barbara Kołodziejczak
- Dr Tomasz Piłka
- Dr Joanna Siwek
- Dr Anna Stachowiak
- Dr Patryk Żywica
Intelligent tutoring systems (ITS) are a group of information systems which have been designed since the 1980s. Along with the development of research technologies, methods and tools, as well as changes in the needs of end users, systems of this kind have been designed in various architectures and following different approaches. The group undertakes basic research as well as research and development activities in the field of intelligent tutoring systems, with particular focus on the architecture of systems embedded in dynamically growing repositories of educational content.
- Associate Professor Jacek Marciniak – group leader
- Dr Andrzej Wójtowicz
- Dr Barbara Kołodziejczak
- Marcin Szczepański MSc
- Professor Zygmunt Vetulani – group leader
- Associate Jacek Marciniak
- Dr Tomasz Obrębski
- Marta Witkowska MA
- Professor Janusz Taborek
- Dr Jolanta Bachan
- Dr Paweł Dybała
- Dr Irakli Kardava
The group studies neural language models, in particular those with continuous dimensions such as time or a 2D document structure. We apply language models to such tasks as natural language understanding, grammatical correction, machine translation, and temporal classification. The Language Modelling group also pursues research on the evaluation and meta-evaluation of language models and other NLP tasks.
- Dr Filip Graliński – group leader
- Professor Krzysztof Jassem
- Dr Rafał Jaworski
- Tomasz Dwojak MA
- Dawid Jurkiewicz MA
- Karol Kaczmarek MA
- Jakub Pokrywka MA
- Wojciech Włodarczyk MA
- Krzysztof Jurkiewicz BSc
- Dr Wojciech Pałubicki – group leader
- Dr Andrzej Wójtowicz
- Jacek Kałużny MA
- Andrzej Kokosza MA
- Miłosz Makowski MA
- Dr Wojciech Kowalewski