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Root number
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471397 |
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Semester
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HS2021 |
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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 provides a conceptual and practical introduction into modern Natural Language Processing (NLP) methods and technologies. Each lecture introduces a new NLP approach based on a seminal publication and including a presentation of an academic guest speaker. The NLP methods include Bag-of-words (BoW), term frequency–inverse document frequency (TF-IDF), word2vec, long short-term memory (LSTM), latent Dirichlet allocation (LDA), transformers, BERT, and GPT-3.
Before each lecture, the students have to read the indicated research article and ask a key question for the discussion. In addition, each student has to conduct and eventually present a personal project related to NLP. This seminar is mandatory for all students conducting a bachelor or master thesis at the Research Center for Digital Sustainability.
More information and detailed schedule on https://www.digitale-nachhaltigkeit.unibe.ch/studium/natural_language_processing/ |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to (no 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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Joël Niklaus, Institute of Computer Science, Research Center for Digital Sustainability ✉
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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
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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