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Вернуться к Обработка текстов, написанных на естественных языках

Отзывы учащихся о курсе Обработка текстов, написанных на естественных языках от партнера НИУ ВШЭ

Оценки: 802
Рецензии: 204

О курсе

This online course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techniques are likely to work well. The final project is devoted to one of the most hot topics in today’s NLP. You will build your own conversational chat-bot that will assist with search on StackOverflow website. The project will be based on practical assignments of the course, that will give you hands-on experience with such tasks as text classification, named entities recognition, and duplicates detection. Throughout the lectures, we will aim at finding a balance between traditional and deep learning techniques in NLP and cover them in parallel. For example, we will discuss word alignment models in machine translation and see how similar it is to the attention mechanism in encoder-decoder neural networks. Core techniques are not treated as black boxes. On the contrary, you will get in-depth understanding of what’s happening inside. To succeed in that, we expect your familiarity with the basics of linear algebra and probability theory, machine learning setup, and deep neural networks. Some materials are based on one-month-old papers and introduce you to the very state-of-the-art in NLP research. Do you have technical problems? Write to us:

Лучшие рецензии

23 мар. 2018 г.

Great thanks to this amazing course! I learned a lot on state-to-art natural language processing techniques! Really like your awesome programming assignments! See you HSE guys in next class!

2 авг. 2020 г.

It's a comprehensive course on NLP. The instructors clearly explain both the traditional/classical approaches and modern approaches such as neural networks in NLP.

Фильтр по:

176–200 из 204 отзывов о курсе Обработка текстов, написанных на естественных языках

автор: Armughan S

19 мая 2020 г.

The course had an advanced content and was taught at a good pace. Though there are some concepts which were not elaborated and needed to be understood from different sources.

автор: Ahammed J

24 апр. 2020 г.

This is basic to advanced level course. you should have significant amount of knowledge in the field, if not you have to do additional research .Over all good course.

автор: Santoshi29 K

21 мар. 2019 г.

explanation on Fundamentals are good.. it would be better if models and methods are explained by applying them to some real time examples.

автор: Hampus L

6 июня 2019 г.

The course was great. Perhaps it'd be nice to combine the lower level with some higher level Deep Learning framework at the end. Thanks!

автор: Raúl A C G

28 дек. 2020 г.

Really nice course, you might want to add some more tips in the programming assignments but beside that really awesome content

автор: Ruperto P B C

3 апр. 2020 г.

It is a very good course. My only request is related to update the tasks along the course to use Tensorflow 2.0

автор: Archana C

23 июня 2020 г.

More detailed explaination for week 5 project required. a video can be released for AWS use.

автор: Francisco R

21 авг. 2018 г.

Time estimated for assignments is well below the actual time taken to complete them.

автор: Johannes J

14 янв. 2019 г.

I learned a lot. The tasks are challenging, but somehow manageable. Thanks!

автор: Ahmad A

30 июля 2020 г.

More detailed slides and longer elaborating of ideas can be an advantage

автор: ankit g

18 нояб. 2018 г.

Excellent Course on NLP. Need more focus on RNN/CNN/Sequence modelling

автор: Daksh M

6 апр. 2019 г.

It has less content on abstractive summarization.

автор: Pranay R K

26 июня 2020 г.

Good content, but need to update the course

автор: GUDURU B R

1 июня 2020 г.

very hard .must have a lot of prerequisites

автор: Alejandro G

16 мая 2018 г.

Nice introduction and very practical

автор: Wei Z

22 авг. 2018 г.

Good but some content felt rushed

автор: Himanshu B

19 дек. 2019 г.

Nice course for leaning NLP! :)

автор: 4NM18CS100 N K

20 дек. 2021 г.



автор: Luis M R C

26 авг. 2020 г.


автор: Rashmisai B

29 мар. 2019 г.


автор: Luke B

2 июня 2019 г.

This was a good class, and I want to give it more stars, but the default path for completing the final project requires far more time than the course specifies, making it difficult to properly manage one's time.

автор: omar f

2 сент. 2019 г.

The course material overall is good. However, the assignments are not very beneficial from my point of view.

The peer review is totally a mess -no one really review an assignment-

автор: Ravi K R B

7 авг. 2019 г.

Good and useful content but weak quality in providing directions in assignments and zero help

автор: RASHMI A

3 авг. 2020 г.

it was good but wanted programming vedeos rather than completely theory.

автор: Y P R

22 янв. 2020 г.

Theoritical explanation was good but we expect practical explanation