Your task is to classify toxic comments into 6&nbsp;classes (from 0 to 5).&nbsp;The metric is&nbsp;accuracy, the baselines quality is 0.65&nbsp;and 0.72. If you beat the first baseline you will get 12 points, if you bet the second baseline you will get 25 points. If you will be the first in your group, you&#39;ll get 3 bonus points. 
The test data is a set of strings, one comment per line. You need to return a label for each comment, also one&nbsp;per line.

The baseline solution <a href="https://github.com/huawei-university/nlp-assignment-2">is here</a>.

The task of to classifying toxic comments

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Registration application for Course Season 2021

NLP course. Text classification: toxic comments

Predictions

Final Projects. NLP-course. Spring 21/22

Хакатон

Final Projects

Теория

1. Introduction to Natural Language Processing

Квест

Test 1

2. Machine Learning Basics and Text Classification

Тестирование

Test 2

3. Word Embeddings

Test 3

Practice word2vec Lite

Practice word2vec

4. Convolutional Neural Networks

Test 4

Соревнование

Practice 2

5. Hidden Markov Models and Tagging

Test 5

6. Recurrent Neural Networks

Test 6

7. Topic Modeling

Test 7

8. Statistical Machine Translation

Test 8

9. Transformers

Test 9

10. Conversational AI

Test 10

11. Context-Free Grammars and Parsing

Test 11

Official support channel: <a href="https://opendatascience.slack.com/archives/CUGP21CKU" rel="noopener noreferrer" target="_blank">#course_nlp_huawei</a> in ODS.ai slack. If you are not registered, please<a href="https://ods.ai/join-community" rel="noopener noreferrer" target="_blank"> join the community</a>.

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

Logistics: 
Lectures at Thursdays 17:50 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.

leaderboard-nlp

Today is deadline for the first assignment!

First task in the course redesigned to be easier!

Course start

Natural Language Processing course (stream 2, spring 2022)

Viacheslav Koloskov

Elena Zhogoleva

Yury Popov

Andrey Nepomnyashchy

Mitrofanovem

Oleg Andriyanov

Nikita Kozin

Roman Mysianov

Vladimir Saberullin

Shura V

AndrejLabintsev

Mike Puzitsky

Andrey T

George Varenikov

Mikhail Sergeev

Aleksei Domnenko

Georgy Chernousov

Fan Daymon

Pavel Tsalkovich

Andrey Dolganov

Galina Zhakova

alex denisov

Valery Vinogradov

Elena Nikolaevskaia

Alexey Kurochkin

baseline

Aleksandr Pronevich

Kseniya Chystova

Parshin Dmitrii Aleksandrovich

Fedor Erin

Nikolai Makarov

Nadejda Shilova

Oleg Kovalenko

Alexey Belkov

Emelyanov Timofey

Nikita Bolshagin

Ilya Korolev

Alexander Medvidov

Dubovkin Maxim

Michael Karev

Anton Dronov

Aleksei Zaplatin

Dima Sokolov

Valerii Chetvertakov

Andrey Gorbachev

Vsevolod Grishunin

OOC Narek Maloyan

Accuracy

#	Teams (47)	Accuracy	Last	Entries
1	Viacheslav Koloskov	0.7862026103	3y	39
2	jc	0.7630515848	3y	1
3	Elena Zhogoleva	0.7577688005	3y	6
4	Yury Popov	0.7546612803	3y	4
5	Andrey Nepomnyashchy	0.7546612803	3y	9
6	Mitrofanovem	0.7422311995	3y	6
7	Oleg Andriyanov	0.7405220634	3y	14
8	Nikita Kozin	0.7391236793	3y	18
9	Roman Mysianov	0.7361715351	3y	5
10	Vladimir Saberullin	0.7358607831	3y	3
11	Shura V	0.734151647	3y	27
12	AndrejLabintsev	0.7332193909	3y	18
13	Mike Puzitsky	0.7298011187	3y	16
14	Andrey T	0.7280919826	3y	5
15	George Varenikov	0.7254505904	3y	5
16	Mikhail Sergeev	0.7248290864	3y	3
17	Aleksei Domnenko	0.7240522063	3y	15
18	Georgy Chernousov	0.7240522063	3y	22
19	Fan Daymon	0.7226538222	3y	3
20	Pavel Tsalkovich	0.7224984462	3y	6
21	Andrey Dolganov	0.7220323182	3y	1
22	Galina Zhakova	0.7211000622	3y	18
23	alex denisov	0.7211000622	3y	5
24	Valery Vinogradov	0.7203231821	3y	3
25	Elena Nikolaevskaia	0.7203231821	3y	15
26	Alexey Kurochkin	0.7200124301	3y	13
baseline 25 points		0.72
27	Aleksandr Pronevich	0.7173710379	3y	13
28	Kseniya Chystova	0.7142635177	3y	7
29	Parshin Dmitrii Aleksandrovich	0.7139527657	3y	18
30	Fedor Erin	0.7123990056	3y	5
31	Nikolai Makarov	0.7116221255	3y	8
32	Nadejda Shilova	0.7085146053	3y	25
33	Oleg Kovalenko	0.7080484773	3y	9
34	Alexey Belkov	0.7060285892	3y	5
35	Emelyanov Timofey	0.7047855811	3y	2
36	Nikita Bolshagin	0.7041640771	3y	8
37	Ilya Korolev	0.703076445	3y	25
38	Alexander Medvidov	0.6996581728	3y	1
39	Dubovkin Maxim	0.6981044127	3y	2
40	Michael Karev	0.6981044127	3y	1
41	Anton Dronov	0.6971721566	3y	4
42	Aleksei Zaplatin	0.6928216283	3y	4
43	Dima Sokolov	0.6928216283	3y	2
44	Valerii Chetvertakov	0.6807022996	3y	3
45	Andrey Gorbachev	0.6803915475	3y	10
46	Vsevolod Grishunin	0.655686762	3y	4
baseline 12 points		0.65
47	OOC Narek Maloyan	0.4729645743	3y	1