FI:PA164 Learning and natural language - Course Information
PA164 Machine learning and natural language processing
Faculty of InformaticsAutumn 2015
- 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)
- RNDr. Karel Vaculík, Ph.D. (assistant)
RNDr. Hana Bydžovská, Ph.D. (assistant)
doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer) - Guaranteed by
- prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics - Timetable
- Tue 8:00–9:50 C416
- 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
- there are 25 fields of study the course is directly associated with, display
- Course objectives
- Students will obtain knowledge about methods and tools for text mining and natural language learning. At the end of the course students should be able to create systems for text analysis by machine learning methods. Students are able to understand, explain and exploit contents of scientific papers from this area.
- Syllabus
- Natural language processing(NLP). Corpora. Tools for NLP.
- Inroduction to machine learning
- Disambiguation. Morphological disambiguaiton and word-sense disambiguation
- Shallow parsing and machine learning
- Entity recognition and collocations
- Document categorization
- Information extraction from text
- Text mining
- Web mining
- Applications: text with spatio-temporal information, biomedical and biological texts.
- Literature
- recommended literature
- LIU, Bing. Web data mining : exploring hyperlinks, contents, and usage data. Berlin: Springer, 2007, xix, 532. ISBN 9783540378815. info
- MANNING, Christopher D. and Hinrich SCHÜTZE. Foundations of statistical natural language processing. Cambridge: MIT Press, 1999, xxxvii, 68. ISBN 0-262-13360-1. info
- not specified
- Mining text data. Edited by Charu C. Aggarwal - ChengXiang Zhai. New York: Springer Science+Business Media, 2012, xi, 522. ISBN 9781461432227. info
- Teaching methods
- a lecture combined with demonstrations and a work on a project
- Assessment methods
- Combination of written and oral examination. A defence of a project is as a part of the examination.
- Language of instruction
- Czech
- Further Comments
- Study Materials
- Teacher's information
- http://www.fi.muni.cz/~popel/lectures/ll/
- Enrolment Statistics (Autumn 2015, recent)
- Permalink: https://is.muni.cz/course/fi/autumn2015/PA164