Seminar Natural Language Processing

This seminar offers a conceptual and practical introduction into modern Natural Language Processing (NLP). The course is structured around a series of lectures, each centered on a seminal publication and featuring presentations by academic guest speakers. The covered NLP techniques include the latest advancements such as transformer architectures, BERT, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), alongside foundational methods like Bag-of-Words (BoW), TF-IDF, word2vec, and LSTM.

Prior to each session, students are required to read a designated research paper and prepare a critical question for discussion. This engagement will deepen understanding and foster analytical skills. Additionally, each participant will undertake a personal project in the realm of NLP, culminating in a final presentation that demonstrates their applied knowledge and insights. This seminar is mandatory for all students conducting a bachelor or master thesis at the Research Center for Digital Sustainability.

Details

Code	61611
Type	Seminar
ECTS	5
Site	Bern
Track(s)	T6 – Data Science
Semester	A2024

Teaching

Learning Outcomes	Upon successful completion of this course, you will … … have developed your presentation skills … have planned, executed and presented a project in the field of NLP … know the most important methods of NLP … be able to understand papers in the field of NLP … be able to understand and critically comment on presentations of your fellow students
Lecturer(s)	Matthias Stürmer
Language	english
Course Page	The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_3102245.html.

Schedules and Rooms

Period	Weekly
Schedule	Friday, 10:15 - 12:00
Location	UniBE, Hauptgebäude H4
Room	105

Evaluation

Evaluation type

continuous evaluation

Additional information

Comment

First Lecture The first lecture will take place on Friday, 20.09.2024 at 10:15 in UniBE, Hauptgebäude H4, room 105.