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学生对 国立高等经济大学 提供的 自然语言处理 的评价和反馈

549 个评分
130 条评论


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:



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!


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.


76 - 自然语言处理 的 100 个评论(共 130 个)

创建者 Sylvain D

Nov 25, 2019

Very nice and extremely interesting !

创建者 MD. R K

May 28, 2018

That course is Amazing! I love it.

创建者 Haoyu L

Aug 24, 2019

Such a practical course! Love it!

创建者 Lucas K K

Dec 28, 2019

Great course! Highly recommended

创建者 Loganathan S

Sep 19, 2019

Very good and useful course.

创建者 Pierre A

Jan 02, 2020

Great course to learn NLP.

创建者 Jeremy L

Mar 29, 2019

The assignments are great!

创建者 Lucy L

Dec 13, 2018

the best nlp online course

创建者 CL G

Jun 17, 2019

Fascinating and fun.

创建者 Cindy P

Dec 05, 2018


创建者 Yu Q

May 06, 2019

Very good course!

创建者 芦昌灏

Dec 05, 2018

wonderful course!

创建者 Narjes K

Nov 07, 2018

Very good course,

创建者 Rik K

May 01, 2018

Enjoyed it a lot!

创建者 Vignesh V

Mar 02, 2018

Excellent Course.

创建者 Bharanidharan S

Jan 02, 2020

Excellent course

创建者 Lucas B M

Mar 13, 2019

Very good course

创建者 Patrick H

Apr 06, 2018

Awesome course.

创建者 Alexander R

Nov 17, 2018

great course!

创建者 Max P Z

Mar 28, 2018

Great course!

创建者 haiya1994

Oct 09, 2018

very good

创建者 过群

Mar 07, 2018


创建者 Владимир В

Feb 26, 2019


创建者 Joe W

Jan 10, 2020

Amazing course!! This course introduces both classical and deep learning approaches in NLP and discusses the connection between the two. The homework is generally very well designed. The final project requires deployment in production which is a nice experience to have for real world application even though I was hoping for more in-depth model building based on the materials in the tutorials (perhaps this is covered in the honors project). One recommendation is to update the materials to include BERT, ELMO and transformers from the last two years. I know it is difficult to stay up-to-date given how fast the NLP field develops. However, this course provided enough background knowledge to learn those new topics on our own. All in all, very enjoyable learning experience and I am already applying some of the skills in my day job. Thanks so much!!

创建者 Lefteris L

Sep 22, 2019

This course offers a really good intro to all of the state of the art techniques used in NLP. Its course is structured by heavy impact papers from the literature and the instructors do a really good job in explaining.

The quizzes are good and help you understand the material.

If there is one thing I didn't like in this course, it was the programming assignments. Their structure was really big and aimed really long. Thus, I often felt that I didn't know what I was doing and for what reason. The assignments from Andrew Ng's Deep Learning's Specialization "Sequence Models" course were far better and helped me gain much intuition on how to code real tasks.