Course schedule
This schedule is tentative and may be changed during the semester as necessary.
Assignment deadlines are Sunday at 23:59.
Week | Lecture Date | Lecture/Seminar | Practicum/Seminar | Assignment due |
---|---|---|---|---|
24 | 14.02.2024 | Introduction, text processing, text representations | Text processing, text representations | |
25 | 21.02.2024 | Word embeddings, text classification | Word embeddings with Gensim and Fasttext, text classification | |
26 | 28.02.2024 | N-gram language models | Introduction to pytorch | |
27 | 06.03.2024 | Sequence modeling with recurrent neural networks | Recurrent neural networks with pytorch | Homework 1 (10.03) |
28 | 13.03.2024 | Encoder-decoder models and attention mechanism | Encoder-decoder models with pytorch | |
29 | 20.03.2024 | Self-attention and transformer architecture | Transformers with Huggingface | |
30 | 27.03.2024 | Transformer models | Big Friday: no practice | Homework 2 (31.03) |
31 | 03.04.2024 | Applications: classification tasks | Applications: text classification and sequence tagging | |
32 | 10.04.2024 | Further applications: IR, QA etc | Guest lecture by David Dale from Facebook Research (Paris) | |
33 | 17.04.2024 | Syntax and dependency parsing | Homework/project support | Homework 3 (05.05) |
34 | 24.04.2024 | Project method presentation I | Project method presentation II | |
35 | 01.05.2024 | Spring day: no lecture | Homework/Project support | |
36 | 08.05.2024 | Paper seminar I (RAG) | Paper seminar II (Prompting) | |
37 | 15.05.2024 | Paper seminar III (Data Annotation) | Paper seminar IV (Varia) | |
38 | 22.05.2024 | Project seminar I | Project seminar II | |
39 | 29.05.2024 | Theory test |