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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

748 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:

Melhores avaliações

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.

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.

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51 — 75 de 192 Avaliações para o Processamento da Linguagem Natural

por Dmitry N

30 de Out de 2019

Naaah, OK 5 out of 5. You, guys, are OK. Teaching stuff is great. And you are actually giving theoretical background, as Andrew Ng does. He might just have a bit more examples. But, I think, it was your first shot. And next course done by you, guys, for instance about GANS, will have a lot of examples. Thanks again.

And looking good, you both.

por Ernst O

4 de Nov de 2019

Course has a high pace, and exposes students to many state-of-the-art as well as classic topics. Only topic missing are the recent BERT/ELMO models. This should be included. The lectures are good, but often cover too much ground to be understood fully, without further reading. Nice assignments. All in all worth it!

por Aayush F

28 de Jun de 2020

It's great, because it takes you over statistical ML also, instead of going straight for an LSTM, ot Transformers and the like. This leaves students capable of developing less compute intensive solutions, that can be deployed cheaply on AWS or other cloud infrastructure. The final project was great!

por Bhargav U

6 de Out de 2018

This is one of the best MOOC I have ever taken. The target audience for the course are the one who are already handy with Deep learning, tensorflow and python programming. Many advance topics are discussed in good depth, as the topic NLP is vary broad area so not possible to cover all the topics.

por Wei-Lin C

26 de Out de 2018

Course is quite challenging for student without computer programming background. However, the knowledge in the course and the assignment for practicing could enhance the programming skill and eventually let you build a chat-bot with sufficient knowledge. Thanks for the materials. Very useful.

por Hrithik A

29 de Mar de 2020

This course is on of the finest course that i have done in context of ML and NLP. I would like to thank all the Course instructor for their wonderful Content and crystal clear concepts. The lectures were so intuitive and promising and i will highly recommend this course for NLP enthusiastic.

por Nilesh G

6 de Jun de 2020

Nice content, effective content delivery, hands on projects in each assignment which will help to build the final project, link of research papers which will really helpful to get detail insights of topics.

Strongly recommend to learn new technological stuffs...Thanks to all my Teachers

por Bob F

29 de Mar de 2018

Thanks for a fantastic course! The lectures were amazing clear and well organized and covered exactly the topics most important to me in my current work. The homework assignments were designed perfectly to challenge and inspire.Great job!

por Matúš Ž

15 de Abr de 2018

I really recommend this course. They cover latest papers in NLP as well as both statistical and neural approaches to current NLP problems. There are also assignments where you can apply what you learned in practice.

por Lukas K

3 de Ago de 2019

This course has really nice summarization of usage different approaches for solving NLP problems. The only thing a little bit over is the final assignment, which contains AWS and Telegram integration.

por Hyunwook K

18 de Jul de 2019

In this course, I can learn general Natural Language Processing (NLP) concepts and related programming. I think that this course is good start for NLP, so I recommend this course to new NLP starter.

por Ge Y

24 de Mar de 2018

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!

por yang

2 de Jan de 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.

por Tamara H

16 de Mai de 2020

thanks to main organizers and all the time that they've spent on making this course and answering the questions. I think that's a great balance between maths and programming!

por Dittaya W

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.

por Jiaming K

5 de Ago de 2019

I think this course helps me a lot in understanding the basic of NLP. I hope the next version of it will cover topics like BERT and a like transformers!

por Ari W R

30 de Ago de 2020

That is so cool for all of the material that is include in this course. I hope can apply the knowledge that i get from this course as max as possible.

por Melesio C S

11 de Nov de 2018

I really liked this course, since it has many practical examples in how to apply nlp tasks for real applications. I highly recommend this course.


10 de Jul de 2020

It was very fun learning in this website,it did boost my confidence and was very helpful in mastering the course! Glad that i choose Coursera.

por Sixing H

24 de Mar de 2020

Very fast and efficient to get an intro into NLP. Afterwards, I can proceed to learn deeper into the subject. Thank all the instructors.

por Stamatis M

24 de Ago de 2019

The best course in this specialization so far, and also Mrs Anna Potapenko is the best instructor on this specialization in my opinion.

por Dipo D

27 de Jun de 2020

The content was really deep and up to date with the latest research and practice in the real world. Assignments were really good also.

por Xuan W

29 de Jan de 2019

Very good course with broad introduction of the state of the art technologies for NLP. Well designed and interesting homework as well.

por 刘尧

27 de Dez de 2018

It's a little hard to complete all the courses and homework. But it's worth your time and hard work. I learnt a lot from this course.

por Abdul Q

3 de Mar de 2018

An excellent course for the students who really want to learn the process of understanding how the intelligent machine works.