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263-5000-00L 6 Credits MSC , WBZ D-ITET , D-INFK , D-MATH
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Computational Semantics for Natural Language Processing

Lecturers & Examiners: Prof. Dr. Mrinmaya Sachan
Limited number of participants: 80. Last cancellation/deregistration date for this graded semester performance: Friday, 26 March 2021! Please note that after that date no deregistration will be accepted and the course will be considered as "fail".
VVZ CR 3.15

Last Updated: 2026-02-05 15:55:02

Abstract

This course presents an introduction to Natural language processing (NLP) with an emphasis on computational semantics i.e. the process of constructing and reasoning with meaning representations of natural language text.

Objective

The objective of the course is to learn about various topics in computational semantics and its importance in natural language processing methodology and research. Exercises and the project will be key parts of the course so the students will be able to gain hands-on experience with state-of-the-art techniques in the field.

Content

We will take a modern view of the topic, and focus on various statistical and deep learning approaches for computation semantics. We will also overview various primary areas of research in language processing and discuss how the computational semantics view can help us make advances in NLP.

Resources

Lecture Notes

Lecture slides will be made available at the course Web site.

Literature

No textbook is required, but there will be regularly assigned readings from research literature, linked to the course website.

Learning Materials (Links)

General Information

Language
English
Levels
MSC , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
The final assessment will be a combination of classroom participation, graded exercises and the project. There will be 3 exercise sets which will be a mix of theoretical and implementation problems. Exercises will be released roughly every 4 weeks, and will total to 30% of your grade. Classroom participation (including a research paper presentation) will account for 20% of the grade. The project will account of the rest of the grade (50%). There will be no written exams.

Registration & Places

Max Places
80

Course Components

Type Title Time & Place Hours
lecture Computational Semantics for Natural Language Processing
  • Thu 10:15-12:00 (CAB G 51)
2 h weekly
exercise Computational Semantics for Natural Language Processing
  • Thu 15:15-16:00 (CAB G 59)
1 h weekly
independent project Computational Semantics for Natural Language Processing No time listed 2 h weekly

Offered In