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nlp_intro's Introduction

Tanja Samardžić, University of Geneva, Lecture notes, Autumn 2023

Introduction to NLP

(Traitement automatique du langage naturel - TALN)

These notes should be used as a guide for acquiring the most important notions and terminology in contemporary Natural Language Processing. Most of the notions mentioned in the notes are explained in the listed sources. A few visualisations are included in the notes for a better overview and intuitive understanding. This course includes a practical part too, which is managed on Moodle.

 

Online textbooks:

Blogs and other learning resources:

Topics

2. NLP tasks, data sets, benchmarks

3. Evaluation, data splits

4. Representing the meaning of words with word2vec

5. History of language modelling

6. Language modelling with Transformers NNs

7. Attention in language modelling

8. Subword tokenization

9. Performing tasks with pre-trained models (transfer learning)

10. Cross-lingual transfer and multilingual NLP

11. History of NN architectures in NLP: CNNs, LSTMs

12. What is knowledge about language?

 

 

Dates 2023

21.09   28.10   05.10   12.10   19.10   26.10   02.11   09.11   16.11   23.11   30.11   07.12   14.12   21.12  
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