Hi! The first block of the autumn training stream will be available from 14 September. We are looking forward to seeing you.

Natural Language Processing course (stream 3, autumn 2022)

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Final Projects. NLP-course. Autumn 22

Хакатон

Final Projects

Course block deadline expired on 18.12.2022 20:59

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Теория

1. Introduction to Natural Language Processing

Квест

Test 1

Course block deadline expired on 28.09.2022 20:59

2. Machine Learning Basics and Text Classification

Тестирование

Test 2

Course block deadline expired on 05.10.2022 20:59

3. Word Embeddings

Test 3

Course block deadline expired on 12.10.2022 20:59

Practice word2vec Lite

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Practice word2vec

4. Convolutional Neural Networks

Test 4

Course block deadline expired on 19.10.2022 20:59

NLP course. Text classification: toxic comments

The task of to classifying toxic comments

Соревнование

Practice 2

Course block deadline expired on 31.10.2022 20:59

5. Hidden Markov Models and Tagging

Test 5

Course block deadline expired on 26.10.2022 20:59

6. Recurrent Neural Networks

Test 6

Course block deadline expired on 02.11.2022 20:59

7. Topic Modeling

Test 7

Course block deadline expired on 09.11.2022 20:59

8. Statistical Machine Translation

Test 8

Course block deadline expired on 16.11.2022 20:59

9. Transformers

Test 9

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10. Conversational AI

Test 10

Course block deadline expired on 30.11.2022 20:59

11. Context-Free Grammars and Parsing

Test 11

Course block deadline expired on 07.12.2022 20:59

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Official support channel: <a dir="auto" href="https://t.me/+AciH2MVMv_RiMGQy" rel="noopener noreferrer" target="_blank" title="https://t.me/+AciH2MVMv_RiMGQy">https://t.me/+AciH2MVMv_RiMGQy</a>

&nbsp;

Lecturers: 
Valentin Malykh (<a href="http://val.maly.hk/" rel="noopener noreferrer" target="_blank">personal page</a>)

Logistics: 
Lectures at Wednesday&nbsp;19:10&nbsp;MSK online.

Seminars will be added in the meantime.

Prerequisites

<ul>
<li>Basic Python Programming</li>
<li>College Calculus, Linear Algebra</li>
<li>Basic Probability and Statistics</li>
<li>Foundations of Machine Learning</li>
</ul>

Assignments: 
There will be two assignments on the course.

Projects: 
The participants will be suggested to work on a project during the course. The successful project development is crucial to pass the course. 
The projects from previous semester are available <a href="https://github.com/huawei-university/nlp-course-projects" rel="noopener noreferrer" target="_blank">here</a>.

Natural Language Processing (NLP) is a domain of research whose objective is to analyze and understand human languages and develop technologies to enable human machine interactions with natural languages. NLP is an interdisciplinary field involving linguistics, computer sciences and artificial intelligence. The goal of this course is to provide students with comprehensive knowledge of NLP. Students will be equiped with the principles and theories of NLP, as well as various NLP technologies, including rule-based, statistical and neural network ones. After this course, students will be able to conduct NLP research and develop state-of-the-art NLP systems.

Лидерборд

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