Chevron Left
Voltar para Processamento da Linguagem Natural

Comentários e feedback de alunos de Processamento da Linguagem Natural da instituição Universidade HSE

4.5
estrelas
751 classificações
192 avaliações

Sobre o curso

This 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 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: coursera@hse.ru...

Melhores avaliações

DW
2 de Ago de 2020

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.

AS
17 de Dez de 2019

One of the best courses I took from coursera. Good mathematical knowledge, resources provided are related to current research. Assignments are more than expected.

Filtrar por:

176 — 192 de 192 Avaliações para o Processamento da Linguagem Natural

por Pranay R K

26 de Jun de 2020

Good content, but need to update the course

por GUDURU B R

1 de Jun de 2020

very hard .must have a lot of prerequisites

por Alejandro G

16 de Mai de 2018

Nice introduction and very practical

por Wei Z

22 de Ago de 2018

Good but some content felt rushed

por Himanshu B

19 de Dez de 2019

Nice course for leaning NLP! :)

por Luis M R C

26 de Ago de 2020

Great

por Rashmisai B

29 de Mar de 2019

good

por Luke B

2 de Jun de 2019

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.

por omar f

2 de Set de 2019

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-

por Rishabh G

30 de Jul de 2020

The course started off well but I think it was not structured well. The later weeks tried to deliver extremely advanced concepts but they rushed into it

por Angela B

6 de Jul de 2019

Good information, but I am struggling understanding the presenter. The course feels a bit forced.

por ravi k

7 de Ago de 2019

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

por RASHMI A

3 de Ago de 2020

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

por Y P R

22 de Jan de 2020

Theoritical explanation was good but we expect practical explanation

por Oleksandra P

2 de Mai de 2020

The lectures were fine (content wise) even though a little challenging to comprehend, but programming assignments are completely outrageous. Unlike in specializations from other universities where you can check the quality of your code in every step of assignment (e.g. make sure input/output shapes are correct, datatype is optimal etc.), here they just give you a large notebook with few missing lines which you have to fill and if something's not working - good luck figuring all out completely on your own. Staff was irresponsive and not helpful. Therefore I will have to unenroll.

por Joris D

22 de Set de 2019

This is a very good course, brought with clarity and humour, and excellent quizzes and assignments to assess your understanding of the material. The big problem it has is the final project, which requires you to run a piece of software on an AWS free tier server. An impossibility, because the software requires more memory than Amazon offers in its free tier. Moreover, as it crashes every few hours, peer reviewers can find it not working and have to contact you to restart it. Constant monitoring for several days is required.

por Timo J

3 de Jan de 2021

absolutely lame grader. colab destroyed yesterday work. unclear instructions.