PA156 Dialogue Systems

Faculty of Informatics
Spring 2020
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
Mgr. Luděk Bártek, Ph.D. (lecturer)
Guaranteed by
Mgr. Luděk Bártek, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. RNDr. Ivan Kopeček, CSc.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Mon 17. 2. to Fri 15. 5. Thu 8:00–9:50 A218
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 52 fields of study the course is directly associated with, display
Course objectives
Basic aspects of the current theory of dialogue systems, their implementations and applications are presented in the course. The basic goal is to present an overview of the state of the art in the field and to outline the future perspective.
Learning outcomes
Student will be able to design dialogue systems using the approriate up-to-date technologies.
Syllabus
  • History of the human-computer communication (Elisa, expert systems, virtual reality)
  • Basic technologies of the dialogue systems (principles of the speech synthesis and recognition, multi-modal interface)
  • Principles of the natural language analysis (formal models, Chomsky approach, other alternatives, statistical approach, semantic and pragmatic analysis)
  • Structure and models of dialogue, basic types of dialogues (Conversational analysis, principles and characteristics of the cooperative and non-cooperative dialogue)
  • Dialogue strategies (Types of dialogue strategies, relations with the game theory)
  • Syntax, semantics and pragmatics of dialogue (Formal description of dialogue and dialogue strategies, methods of semantics analysis, pragmatic aspects)
  • Modelling and processing emotions (Emotions meaning for dialogue strategies, detection and analysis of emotions)
  • Sentence interpretation and generation (Ambiguities, context)
  • Structure of dialogue systems (basic modules of dialogue systems and their function)
  • Dialogue languages, W3C Voice Browser Activity Standards (VoiceXML, SRGS, SISR, SSML, etc., dialogue notation)
  • User modelling (UM and relations to dialogue systems)
  • Simulation a testing dialogue system (methods of simulation and testing, the method WOZ)
  • Implementations a applications, future of dialogue systems
Literature
  • Kopeček, Ivan. Dialogové systémy. Studijní podklady pro distanční studium,
  • MCTEAR, Michael. Spoken dialogue technology : toward the conversational user interface. Edited by T. V. Raman. New York: Springer, 2004, xii, 432. ISBN 1852336722. info
  • PSUTKA, Josef. Komunikace s počítačem mluvenou řečí. Praha: Academia, 1995, 287 s. ISBN 8020002030. info
Teaching methods
Lectures. Presentation of theoretical frameworks and basic applications. Discussions.
Assessment methods
The examination consist of a written test and an oral part that is typically devoted to the explanation of the unclear points of the written test.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~kopecek/stud.htm
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2020, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2020/PA156