Module Number INFO-4193 |
Module Title Natural Language Processing |
Lecture Type(s) Lecture, Tutorial |
---|---|---|
ECTS | 6 | |
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
Duration | 1 Semester | |
Frequency | In the summer semester | |
Language of instruction | English | |
Type of Exam | Oral examination (written exam if there are a large number of participants), exercise points can be included as a grade bonus in the assessment of the exam |
|
Content | Natural Language Processing (NLP) is a sub-field of artificial intelligence that aims at understanding and automatic generation of texts for various applications, such as document classification, sentiment analysis, text summarization, speech recognition, etc. This course covers NLP topics including n-gram models, word embeddings, bag of word representations for document classification, classifiers, tokenization, part of speech tagging, matrix factorization and topic modeling, deep learning for language processing, transformers, language models and text generation, and finally applications such as document summarization, machine translation, or question answering. |
|
Objectives | Course participants will learn from basic to advanced topics in NLP. They will learn to analyze datasets of textual documents and uncover their various patterns, build text classification models, text generation models and a few modern applications of NLP. The course exercises will give students an opportunity to solve real-world NLP problems independently. |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Eickhoff | |
Literature | Verwendete Programmiersprache: Python |
|
Last offered | unknown | |
Planned for | Sommersemester 2024 | |
Assigned Study Areas | INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-HCI, MEDI-INFO, MEDI-MEDI, MEDI-MMT, ML-CS, ML-DIV |