FI:PV173 NLP Seminar - Course Information
PV173 Natural Language Processing SeminarFaculty of Informatics
- Extent and Intensity
- 0/2. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
- doc. RNDr. Aleš Horák, Ph.D. (lecturer)
doc. Mgr. Pavel Rychlý, Ph.D. (lecturer)
prof. PhDr. Karel Pala, CSc. (lecturer)
doc. RNDr. Petr Sojka, Ph.D. (assistant)
RNDr. Adam Rambousek, Ph.D. (assistant)
RNDr. Vojtěch Kovář, Ph.D. (assistant)
- Guaranteed by
- doc. RNDr. Aleš Horák, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
- Wed 12:00–13:50 B203
- Active presentation within the seminar program is needed. The course is especially suitable for all actively working in the Laboratory of Natural language processing, but it is open to all groups and individuals interested in any kind of text processing.
- 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 44 fields of study the course is directly associated with, display
- Course objectives
- The aim of the seminar is a presentation of results of student research (both doctoral and pregradual) in the NLP Laboratory (http://nlp.fi.muni.cz/), or other works related to text processing.
- Learning outcomes
- After the seminar, the students will:
- gain insight into recent works in the field of computer natural language processing (NLP);
- be able to discuss NLP issues and solutions;
- understand an evaluation of NLP problems on the data sets used;
- design and present a custom solution for a selected NLP problem.
- The lectures consist mostly of students' presentations. The presentations and discussion are usually in Czech or, according to the preferences of the speaker, in English. The students can control the content of the seminar in the discussions after each presentation.
- The Oxford handbook of computational linguistics. Edited by Ruslan Mitkov. Oxford: Oxford University Press, 2003. xx, 784. ISBN 0198238827. 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
- Teaching methods
- Students presentations, discussion.
- Assessment methods
- Students must present their own work. Credits are assigned to students according to the presented results.
- Language of instruction
- Further Comments
- The course is taught each semester.
- Teacher's information