Our work mainly includes: large language models (LLMs), their training and application with textual and multimodal data (e.g., image, sound, and text), the creation and management of text corpora, i.e., storing and retrieving large textual data, knowledge representation, e.g., creating knowledge bases from texts, representation of meaning in natural language expressions for determining text characteristics (such as topics, sentiment, stylistic features, and authorship detection), lexical databases, i.e., software for creating dictionaries, including multimodal data, and the development of dialogue systems or programming of social robots.
Natural Language Processing Centre
- IndustryAdministrative & Support Services, Defense & Security, Education, Healthcare, Pharma & Biotech, Information & Communication Technologies, Legal & Justice Systems, Science & Research, Smart City & Urban Mobility
- InstitutionMasaryk University
- Faculty / InstituteFaculty of Informatics
- Research typeApplied, Basic, Experimental
- Research areaExplainable & Trustworthy AI, Foundation Model Pretraining & Development, Generative AI, Human-AI Interaction, Intelligent Robotics, Knowledge Representation & Symbolic Reasoning, Machine Learning, Natural Language Processing (NLP), Probabilistic Reasoning, Reinforcement Learning, Trustworthy & Responsible AI
Large language models, Multimodal data (text, image, audio), Text analysis, Text mining, Text generation, Speech analysis, Man-machine communication, Machine learning for NLP, Topic identification, Sentiment analysis, Style characteristics, Authorship recognition, Corpus building, Text tagging, Text disambiguation, Corpus managers, Graphical interfaces for corpora, Lexical databases, Knowledge representation, reasoning, Czech WordNet, XML dictionary tools, Morphological analysis, Syntactic parsers, Semantic analysis
- ContactPavel Rychlý
- Emailnlpassist@aurora.fi.muni.cz
- Websitehttps://nlp.fi.muni.cz/en/NLPCentre
- AddressBotanická 86a, 602 00 Brno