FF:PLIN037 Semantic Computing - Course Information
PLIN037 Semantic Computing
Faculty of ArtsSpring 2015
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: z (credit).
- Teacher(s)
- RNDr. Zuzana Nevěřilová, Ph.D. (lecturer)
- Guaranteed by
- doc. PhDr. Zdeňka Hladká, Dr.
Department of Czech Language – Faculty of Arts
Contact Person: Jaroslava Vybíralová
Supplier department: Department of Czech Language – Faculty of Arts - Timetable
- Thu 12:30–14:05 G13
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Czech Language with Orientation on Computational Linguistics (programme FF, N-FI)
- Course objectives
- At the end of the course students should be able to understand terms from the field of computer natural language processing on semantic level; understand multi-annotator issues and inter-annotator agreement; use existing knowledge bases and know their advantages and drawbacks; use the languages of the Semantic web; understand semantic networks; understand and explain the principle of inference in semantic networks; interpret probabilistic models of meaning; understand and explain anaphora resolution issues and algorithms for automatic anaphora resolution; understand the discourse analysis
- Syllabus
- Seeking of the meaning: ambiguity on different levels of language analysis
- Semantic annotation: inter-annotator agreement
- Formal knowledge representation: selectional restrictions, semantic features, semantic networks and frames, psychological experiments
- Semantic relations between clauses and sentences, implication and entailment, inference
- Formal languages for knowledge representation: RDF, OWL (languages of the Semantic Web)
- Probabilistic models
- Discourse analysis, anaphora resolution
- Literature
- recommended literature
- GODDARD, Cliff. Semantic Analysis : a practical introduction. Oxford: Oxford University Press, 1998, xv, 411 s. ISBN 0-19-870017-2. info
- Teaching methods
- Lectures, working on computers.
- Assessment methods
- Presentation of a scientific article or a current topic related to the field (student's choice)
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
- Enrolment Statistics (Spring 2015, recent)
- Permalink: https://is.muni.cz/course/phil/spring2015/PLIN037