FI:PA164 Learning and natural language - Course Information
PA164 Machine learning and natural language processing
Faculty of InformaticsAutumn 2003
- Extent and Intensity
- 2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
- Teacher(s)
- Mgr. Miloslav Nepil, Ph.D. (lecturer)
doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer) - Guaranteed by
- prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Tue 18:00–19:50 B001, Wed 10:00–11:50 X Datový projektor, Wed 10:00–11:50 B410
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Informatics (programme FI, N-AP)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS)
- Course objectives (in Czech)
- Bude podán přehled učicích metod a systémů pro zpracování přirozeneého jazyka. Důraz je kladen na aplikace těchto metod. Součástí předmětu je projekt.
- Syllabus
- Natural language processing(NLP). Corpora. Tools for NLP.
- Inroduction to machine learning
- Disambiguation. Morphological disambiguaiton and word-sense disambiguation
- Shallow parsing, syntactic analysis and learning
- Entity recognition and collocations
- Document categorization
- Information extraction from text
- Text ming
- Web mining
- Semantic web
- Assessment methods (in Czech)
- Součástí předmětu je projekt.
- Language of instruction
- Czech
- Teacher's information
- http://www.fi.muni.cz/~popel/lectures/ll/
- Enrolment Statistics (Autumn 2003, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2003/PA164