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Lecture 1: Language Diversity (+Course Organization)
Lecture 2: Neural Language Modeling & Tokenization
Lecture 3: Training Deep NNs
Lecture 4: Transformer
Lecture 5: Cross-Lingual Word Embeddings
Lecture 6: Cross-Lingual Transfer
Lecture 7: Curse of Multilinguality
Lecture 8: Word Alignment and Label Projection
Lecture 8 (Word alignment): Recording
Lecture 9: Text Generation (with NMT focus)
Lecture 10: (Multilingual) Sentence Encoders
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Exercise 06 - Token-Level Transfer
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Exercise 07 - Neural Machine Translation
Exercise 07 - Neural Machine Translation - Solutions
Exercise 08 - Sentence Representation Learning
Exercise 08 - Sentence Representation Learning - Solutions
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Exam Results (Klausur, 20.7.2023)
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Ana sayfa
Sommersemester 2023
Grundständige Studiengänge (Bachelor, ...)
SS23_DS4DH2
Session 1: Introduction
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Kursbeschreibung
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Lehrende
Goran Glavaš
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Session 1: Introduction
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Recap: Material from DS4HUM-1
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Session 1.5: Recap
Jupyter Notebooks from DS4DH1 (HTML) etkinliğini seçin
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L1: Course introduction
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Recap: Material from DS4HUM-1
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Recap: Material from DS4HUM-1
Session 1.5: Recap
Session 2: Corpus linguistics & lexicon-semantic resources
Session 3: Topic Modeling
Session 4: Networks
Session 5: Evaluation & Statistical Testing
Session 6: Student presentations of topic modeling
Session 7: Student presentations on graph analysis
Session 8: Deep Learning
Session 9: Interpretability & Fairness
Final Project
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Session 1.5: Recap
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