Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI

Natural Language Processing (Sommersemester 2022)

Dozent: Prof. Dr. Gerard de Melo (Artificial Intelligence and Intelligent Systems)
Website zum Kurs: https://moodle.hpi.de/course/view.php?id=305

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 01.04.2022 - 30.04.2022
  • Prüfungszeitpunkt §9 (4) BAMA-O: 18.08.2022
  • Lehrform: Vorlesung / Übung
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Englisch
  • Maximale Teilnehmerzahl: 40

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • 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
  • 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
Data Engineering MA
Cybersecurity MA
Digital Health MA


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).

Lern- und Lehrformen

Lecture with integrated practical exercises.

This course will mostly take place in person. However, in the first 2 weeks, the lectures will be online on Zoom. Please join our Moodle instance for login details.

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.