FI:DZPJUI NLP and AI Methods - Course Information
DZPJUI Advanced Methods for Natural Language Processing and Artificial Intelligence
Faculty of InformaticsAutumn 2020
- Extent and Intensity
- 3/0/2. 5 credit(s). Type of Completion: z (credit).
- Teacher(s)
- prof. PhDr. Karel Pala, CSc. (lecturer)
doc. RNDr. Ivan Kopeček, CSc. (lecturer)
doc. RNDr. Petr Sojka, Ph.D. (lecturer)
doc. RNDr. Aleš Horák, Ph.D. (lecturer)
doc. Mgr. Hana Rudová, Ph.D. (lecturer)
doc. Mgr. Pavel Rychlý, Ph.D. (lecturer) - Guaranteed by
- prof. RNDr. Petr Hliněný, Ph.D.
Faculty of Informatics
Supplier department: Faculty of Informatics - Prerequisites
- !NOWANY( DEMBSY Embedded systems , DFOME Formal Methods , DMKZI Quantum Information Processing , DPGZO Graphics & Image Processing , DMPOS Computer Networks Methods , DMZDD Digital Data Processing , DPITS EIT Systems and Services , DPOSO Advances in Concurrency , DRPSEC Research in comp.security ) && SOUHLAS
Complete MA study - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Informatics (eng.) (programme FI, D-IN4) (2)
- Informatics (programme FI, D-IN4) (2)
- Computer Systems and Technologies (eng.) (programme FI, D-IN4) (2)
- Computer Systems and Technologies (programme FI, D-IN4) (2)
- Course objectives
- The course integrates the individual researcg activities of the students in a broader context of the NLP Cente. The main goal of the course is research and presentation activities of the students. The team collaboration is strongly emphasized. The students join the projects of the Centre with the goal to take part in the international research structures, like Nets of Excelence or other EU research programs.
- Syllabus
- The main topics solved in the NLP Centre include:
- - Computer understanding of natural language.
- - Morphology, syntax, semantics.
- - Text corpora, disambiguation, statistical systems.
- - Representation of morphological structures, algorithms of morphological analysis.
- - Representation of the syntactical structures.
- - Semantical represention, lexical algorithms, elektronical dictionaries.
- - Semantics, normal translational algorithm.
- - Pragmatics, discourse analysis, segmentation, anaphora, coreference.
- - Dialogue systems.
- - Applications of DS in assistive technologies.
- - Inference and knowledge representation.
- - Communication agents.
- - Evaluation techniques.
- - Machine learning.
- - AI and NLP techniques.
- Literature
- Literaturu určuje školitel individuálně.
- Supervisor determines the literature individually.
- Teaching methods
- Research and presentation activities of the students, team collaboration, joining the research projects.
- Assessment methods
- Evaluation of the research and presentation activity of the student.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course is taught each semester.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/autumn2020/DZPJUI