Natural Language Processing (Sommersemester 2021)
Lecturer: Prof. Dr. Gerard de Melo
(Artificial Intelligence and Intelligent Systems)
- Weekly Hours: 4
- Credits: 6
- Enrolment Deadline: 18.03.2021 - 09.04.2021
- Teaching Form: Lecture / Exercise
- Enrolment Type: Compulsory Elective Module
- Course Language: English
- Maximum number of participants: 40
Programs & Modules
- CODS-Konzepte und Methoden
- CODS-Techniken und Werkzeuge
- DATA-Konzepte und Methoden
- DATA-Techniken und Werkzeuge
This course covers a broad range of topics relating to natural language processing (NLP) and computational linguistics, ranging from traditional linguistically oriented tasks such as syntactic parsing and information extraction to modern deep learning-based NLP using Transformers (e.g., BERT, GPT-3). It will cover recent techniques such as for explainable AI and data augmentation, as well as applications such as conversational agents, machine translation, and sentiment analysis.
This course requires solid programming skills as well as high school-level mathematics (especially basic linear algebra and probability theory).
Lecture with integrated practical exercises.
Due to the current circumstances, this course will be taught virtually via the Zoom online platform, in a synchronous format (live at the allocated time slots).
For information about how to join the Zoom sessions as well as class materials and announcements, please join our Moodle site. Non-HPI students can contact Sophie Bodien at office-deMelo(at)hpi.de to obtain access.
60% Final Exam
40% Graded project-based assignments
In case of low participation, the exam can be replaced by an oral examination.
The course starts on Monday, 2021-04-12.
- Mondays 15:15–16:45
- Wednesdays 9:15–10:45