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Root number
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471397 |
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Semester
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HS2024 |
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Type of course
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Seminar |
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Allocation to subject
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Computer Science |
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Type of exam
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Seminar paper |
| Title |
Seminar: Natural Language Processing (NLP) |
| Description |
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.
More information: https://www.digitale-nachhaltigkeit.unibe.ch/studies/natural_language_processing/nlp_seminar_autumn_2024/index_eng.html
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. |
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ILIAS-Link (Learning resource for course)
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No registration/deregistration in CTS (Admission in ILIAS possible).
ILIAS
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Link to another web site
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Further information for this course
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| Lecturers |
PD Dr.
Matthias Emmanuel Stürmer, Institute of Computer Science ✉
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Luca Sven Rolshoven, Institute of Computer Science
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ECTS
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5 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Friday 10:15-12:00 Weekly
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| Rooms |
Seminarraum 105, Hauptgebäude H4
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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