PLIN021 Practical Semantic Analysis

Faculty of Arts
Autumn 2024
Extent and Intensity
0/2/0. 3 credit(s). Type of Completion: z (credit).
In-person direct teaching
Teacher(s)
RNDr. Zuzana Nevěřilová, Ph.D. (lecturer)
Guaranteed by
RNDr. Zuzana Nevěřilová, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 10:00–11:40 G13, except Mon 18. 11. to Sun 24. 11.
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: 7/20, 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
Course objectives
At the end of the course students should be able to: understand the concept of sense and different types of sense; understand the ambiguity and its processing in current computer programs; understand sense disambiguation in current dictionaries as well as in computer processing; know traditional and current approaches to word sense disambiguation; explain the role of context in sense disambiguation; understand the formalisms for knowledge representation; know current approaches and computer programs for semantic analysis and understand a particular group of programs that use different approaches (i.e. chatbots)
Learning outcomes
The student will be able to: - identify a natural language processing problem as a problem of semantic processing,
- consider the granularity of a language resource and compare it with other resources,
- detect size and type of context relevant to a particular task,
- apply statistical methods for keyword detection
Syllabus
  • 1. Introduction to sense study. Signs and senses. Types of sense.
  • 2. Homonymy and Polysemy. Is the sense space discrete? Is the ambiguity a real problem?
  • 3. Sense in dictionaries, sense in text, “one-sense per collocation” assumption, machine learning approaches, sense definition comparison.
  • 4. Word sense disambiguation (WSD), the SENSEVAL contest, WSD algorithms, whan does WSD work? Problems with WSD: granularity, subjectivity.
  • 5. Formalisms for describing sense: semantic features, selectional restritions, taxonomies, semantic frames and scripts, asociative and semantic networks, verb valency lexicons. WordNet and other resources.
  • 6. The role of the context, formalisms, relations between senses, domains, context vectors.
  • 7. Mathematical sense modelling and context modelling.
  • 8. Particular programs that aggregate different approaches to semantic analysis. 9. Sense and emotions, emotional computing. From word meanings to the meaning of the discourse.
Literature
    recommended literature
  • GODDARD, Cliff. Semantic Analysis : a practical introduction. Oxford: Oxford University Press, 1998, xv, 411 s. ISBN 0-19-870017-2. info
  • ALLEN, James. Natural language understanding. 2nd ed. Redwood City: Benjamin/Cummings Publishing Company, 1995, xv, 654 s. ISBN 0-8053-0334-0. info
Teaching methods
Lectures, work with software tools for natural language processing, corpus querying, language resources querying.
Assessment methods
Elaborate a project (written survey, 2-6 pages per student) or final written test consisting of 6 questions focusing on the basic and advanced notions of the discipline.
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Autumn 2015, Autumn 2017, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
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