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Modul Dialog Systems

1. Allgemeine Moduldaten

Erläuterungen zu Abschnitt 1

Moduleigenschaft Inhalt
(!) Modultitel (DE) Dialog Systems
(!) Modultitel (EN) Dialog Systems
(!) ECTS 4
(!) Gültig ab SS 2024
Gültig bis Ende offen
(!) ModulanbieterIn Prof. Dr. rer. nat. Lucie Flek
(!) Sprache Englisch
(!) Turnus SS
(!) Moduldauer Einsemestrig
(!) Modulniveau Master
(!) Fachsemester 1

2. Modulveranstaltungen

Erläuterungen zu Abschnitt 2

(!) Modulveranstaltungen (DE) (!) Modulveranstaltungen (EN) (!) ECTS (!) Präsenzzeit (SWS)
Vorlesung und Übung Dialog Systems Lecture and Exercise Dialog Systems 0 4
Prüfung Dialog Systems Exam Dialog Systems 4 0

3. Studien- und Prüfungsleistungen

Erläuterungen zu Abschnitt 3

(!) Teilnahmevoraussetzungen (DE)
Keine.

(!) Teilnahmevoraussetzungen (EN)
None.

(!) Prüfungsbedingungen (DE)
...

(!) Prüfungsbedingungen (EN)
...

4. Informationen für das Modulhandbuch

Erläuterungen zu Abschnitt 4

(!) Empfohlene Voraussetzungen (DE)
There are no enforced prerequisites but the following will help you understand the material:

  • Introduction to Natural Language Processing
  • Introduction to Machine Learning
  • Basics of statistics
  • Basics of programming (Python)

(!) Empfohlene Voraussetzungen (EN)
There are no enforced prerequisites but the following will help you understand the material:

  • Introduction to Natural Language Processing
  • Introduction to Machine Learning
  • Basics of statistics
  • Basics of programming (Python)

(!) Lernziele (DE)
In this course, students will learn:

  • The differences between types of dialog systems and their purposes
  • How to ethically design dialog systems using contemporary methods
  • To determine how to know if a system is performing well
  • How to implement various methods of dialog control and generation
  • How linguistic processes contribute to the foundations and capabilities of dialog models and language understanding

(!) Lernziele (EN)
In this course, students will learn:

  • The differences between types of dialog systems and their purposes
  • How to ethically design dialog systems using contemporary methods
  • To determine how to know if a system is performing well
  • How to implement various methods of dialog control and generation
  • How linguistic processes contribute to the foundations and capabilities of dialog models and language understanding

(!) Inhalt (DE)
This course is a detailed introduction into the architecture of conversational systems (chatbots). We will introduce the main components of dialog systems and show approaches to their implementation, including the natural language understanding, natural language generation, and dialog sequence management. This course will briefly discuss speech related components and multi-modal systems, but will primarily focus on text processing and language understanding. The lab sessions will be dedicated to implementing a simple dialog system and selected components (via weekly homework assignments).

(!) Inhalt (EN)
This course is a detailed introduction into the architecture of conversational systems (chatbots). We will introduce the main components of dialog systems and show approaches to their implementation, including the natural language understanding, natural language generation, and dialog sequence management. This course will briefly discuss speech related components and multi-modal systems, but will primarily focus on text processing and language understanding. The lab sessions will be dedicated to implementing a simple dialog system and selected components (via weekly homework assignments).

(!) Literatur (DE)

  1. Jurafsky, D., & Martin, J. E. Speech & Language Processing, an Introduction to Natural Language Processing, Computational Linguistics & Speech Recognition
  2. Goodfellow, I., Bengio, Y., & Courville, A. Deep Learning. MIT Press.
  3. McTear, M. Spoken Dialogue Technology: Enabling the Conversational User Interface. ACM.

(!) Literatur (EN)

  1. Jurafsky, D., & Martin, J. E. Speech & Language Processing, an Introduction to Natural Language Processing, Computational Linguistics & Speech Recognition
  2. Goodfellow, I., Bengio, Y., & Courville, A. Deep Learning. MIT Press.
  3. McTear, M. Spoken Dialogue Technology: Enabling the Conversational User Interface. ACM.

5a. SPOen, in denen das Modul verankert werden soll

Erläuterungen zu Abschnitt 5a/5b

(!) Studiengangskürzel (!) SPO-Version (!) Modulbereich
MSMI 2019 Multimedia-Technologie