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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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Exercises
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Exercise 01
Exercise 02
Exercise 03
Exercise 04
Projects
Exercise 05 - Parameter-Efficient Fine-Tuning
Exercise 05 - Parameter-Efficient Fine-Tuning - Solutions
Exercise 06 - Token-Level Transfer
Exercise 06 - Token-level Transfer - Solutions
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)
فتح فهرس المقرر
فتح دُرج الكتلة
الصفحة الرئيسية
Sommersemester 2023
Grundständige Studiengänge (Bachelor, ...)
SS23_DS4DH2
Session 6: Student presentations of topic modeling
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Kursbeschreibung
Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.
Lehrende
Goran Glavaš
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Session 6: Student presentations of topic modeling
الخطوط العريضة للقسم
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Session 5: Evaluation & Statistical Testing
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Session 7: Student presentations on graph analysis
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Session 5: Evaluation & Statistical Testing
الانتقال إلى...
صفحة المقرر الرئيسية
Content (planned)
Recap: Material from DS4HUM-1
Session 1: Introduction
Session 1.5: Recap
Session 2: Corpus linguistics & lexicon-semantic resources
Session 3: Topic Modeling
Session 4: Networks
Session 5: Evaluation & Statistical Testing
Session 7: Student presentations on graph analysis
Session 8: Deep Learning
Session 9: Interpretability & Fairness
Final Project
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Session 7: Student presentations on graph analysis
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