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Procesamiento de lenguajes naturales, National Research University Higher School of Economics

4.6
339 calificaciones
82 revisiones

Acerca de este 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....

Principales revisiones

por GY

Mar 24, 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 MV

Mar 18, 2019

Definitely best course in the Specialization! Lecturers, projects and forum - everything is super organized. Only StarSpace was pain in the ass, but I managed :)

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81 revisiones

por Ajeet Singh

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 Daksh Miglani

Apr 06, 2019

It has less content on abstractive summarization.

por Sudheer Kumar Reddy Challa

Mar 31, 2019

I have the best experience ever with the learning methodologies.

all over it was quite awesome.

por rashmi

Mar 29, 2019

good

por Jeremy Li

Mar 29, 2019

The assignments are great!

por santoshi kumari

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 Milos Vlainic

Mar 18, 2019

Definitely best course in the Specialization! Lecturers, projects and forum - everything is super organized. Only StarSpace was pain in the ass, but I managed :)

por Lucas Bezerra Maia

Mar 13, 2019

Very good course

por Aleksandar Jovanovic

Feb 28, 2019

Terrible final project realization. You use telegram to deploy your conversational bot, which shuts you off if you don't have people chatting with it for too long. And that can happen if nobody reviews your project for days and weeks. I give this course a one star, as this kind of thing is just unacceptable from my perspective, and I can elaborate why. You've taken my money for waiting more than a month for reviews, only to find out I did not pass because my bot shut down. I'm sorry, but I won't take another course from you again. Goodbye.

por Ruiliang Liu

Feb 27, 2019

Very practical. The final project is great!. Highly recommended.