Natural Language Processing (Sommersemester 2021)
Lecturer:
Prof. Dr. Gerard de Melo
(Artificial Intelligence and Intelligent Systems)
Course Website:
https://moodle.hpi.de/course/view.php?id=178
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- 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, Module Groups & Modules
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization
- CODS: Complex Data Systems
- HPI-CODS-K Konzepte und Methoden
- CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
- CODS: Complex Data Systems
- HPI-CODS-S Spezialisierung
- DATA: Data Analytics
- HPI-DATA-K Konzepte und Methoden
- DATA: Data Analytics
- HPI-DATA-T Techniken und Werkzeuge
- DATA: Data Analytics
- HPI-DATA-S Spezialisierung
- SECA: Security Analytics
- HPI-SECA-K Konzepte und Methoden
- SECA: Security Analytics
- HPI-SECA-T Techniken und Werkzeuge
- SECA: Security Analytics
- HPI-SECA-S Spezialisierung
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-K Konzepte und Methoden
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-T Techniken und Werkzeuge
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-S Spezialisierung
Description
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.
Requirements
This course requires solid programming skills as well as high school-level mathematics (especially basic linear algebra and probability theory).
Learning
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.
Examination
60% Final Exam
40% Graded project-based assignments
In case of low participation, the exam can be replaced by an oral examination.
Dates
The course starts on Monday, 2021-04-12.
- Mondays 15:15–16:45
- Wednesdays 9:15–10:45
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