64-418 Lecture Statistical Methods of Language Technology

Course offering details
Instructors: Prof. Dr. Christian Biemann
Event type:
Lecture
Displayed in timetable as:
LT - VL
Hours per week:
2
Credits:
3,0
Language of instruction:
English
Min. | Max. participants:
- | 40
More information: Language of instruction:
English, English materials.

Prerequisites for participation:
Required: No knowledge beyond general computer science on BA-level
Advantageous:
- introductory knowledge of machine learning
- introductory knowledge of statistics
Comments/contents: This lecture gives detailed insights into statistical methods that are used in natural language processing systems. This includes supervised as well as unsupervised machine learning approaches in general, and methods for string and language processing in particular.

Key topics:
- Formal Languages and Automata
- Computational Morphology
- Sequence Tagging
- Topic Modelling
- Graph-Based Methods
- Distributional Semantics
- Word Senses and their Disambiguation
- Neural Architectures for NLP
Learning objectives: After attending this course, students are in a position to
- understand statistical methods for language processing in detail
- conduct methodological research in natural language processing
- analyze and evaluate the use of NLP in applications.
 
Didactic concept: - Lecture and Practice class with homework assignments.
- Assignments involve pen-and-pencil exercises, small programming exercises and application of existing software.
Additional examination information: - Written exam
- Language: English
- Prerequisite: 50% of homework assignments
Class session overview
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14
 
Instructors
Prof. Dr. Christian Biemann
Appointments
Date From To Room Instructors Appointments
1
Date Wed, 5. Apr. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
2
Date Wed, 12. Apr. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
3
Date Wed, 19. Apr. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
4
Date Wed, 26. Apr. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
5
Date Wed, 3. May 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
6
Date Wed, 10. May 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
7
Date Wed, 24. May 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
8
Date Wed, 31. May 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
9
Date Wed, 7. Jun. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
10
Date Wed, 14. Jun. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
11
Date Wed, 21. Jun. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
12
Date Wed, 28. Jun. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
13
Date Wed, 5. Jul. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
14
Date Wed, 12. Jul. 2023
To 12:15
To 13:45
Room G-021/022
Instructors Prof. Dr. Christian Biemann
Exams in context of modules
Module(start semester)/ Course Exam Date Instructors Compulsory pass