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Root number
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471397 |
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Semester
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FS2022 |
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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 |
In this seminar, the students will plan, execute and present a research project in Natural Language Processing (NLP). The individual sessions will be organized similar to a lab meeting, where students present their projects and actively participate in the presentations of their fellow students.
Resources for introduction to the most important concepts of NLP are available in the form of video recordings, papers and blog posts for the students to study independently. 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.
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/studies/natural_language_processing/nlp_seminar_spring_2022/index_eng.html |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (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 |
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 |
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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Öffentlicher Bereich
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