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Voltar para Processamento da Linguagem Natural

Comentários e feedback de alunos de Processamento da Linguagem Natural da instituição National Research University Higher School of Economics

4.5
estrelas
612 classificações
154 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

YY

Jan 02, 2019

I like this course very much. It is a good introduction for NLP. But if you want to know more about the NLP, you need to search and read a lot of posts during the learning process.

AS

Dec 18, 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.

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126 — 150 de {totalReviews} Avaliações para o Processamento da Linguagem Natural

por Putcha L N R

Dec 25, 2018

Anna and group is great at teaching. However, a lot of graded assignments were a lot ambiguous with many important details missing. It would be a lot more helpful, if the content needed for assignment is explicitly mentioned! Thank you!

por Ajeet S

Apr 19, 2019

The course is very nice. I wish there were some more examples in slides to understand the working of algorithms. Maybe its advance that's why I felt it.

If notes of every week were available then it would have been very beneficial.

por Armughan S

May 19, 2020

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.

por Ahammed j

Apr 24, 2020

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.

por Santoshi K

Mar 21, 2019

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

por Hampus L

Jun 06, 2019

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!

por Ruperto P B C

Apr 03, 2020

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

por Francisco R

Aug 21, 2018

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

por Johannes J

Jan 14, 2019

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

por Ankit G

Nov 18, 2018

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

por Daksh M

Apr 06, 2019

It has less content on abstractive summarization.

por GUDURU B R

Jun 01, 2020

very hard .must have a lot of prerequisites

por Alejandro G

May 16, 2018

Nice introduction and very practical

por Wei Z

Aug 22, 2018

Good but some content felt rushed

por Himanshu B

Dec 19, 2019

Nice course for leaning NLP! :)

por rashmi

Mar 29, 2019

good

por Luke B

Jun 03, 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

Sep 02, 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 Angela B

Jul 06, 2019

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

por ravi k

Aug 07, 2019

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

por Y P R

Jan 22, 2020

Theoritical explanation was good but we expect practical explanation

por Oleksandra P

May 02, 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

Sep 22, 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 Udaya B S

May 18, 2020

There was a lot of emphasis on mugging up formulae instead of visually explaining how they work. Even the Tensorflow exercises felt pretty convoluted. Circa 2020, there are many better ways to write the same TF code in a very legible and easy to understand way. This course needs a major refresh.

por Thomas Z

Apr 27, 2020

NLP ist very interesting.

BUT this course is a pain.

Material is from 2017, partly in Russian,

sometimes not working or need enormous time invest to make it running.