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국립 연구 고등 경제 대학의 자연 언어 처리 학습자 리뷰 및 피드백

4.6
452개의 평가
103개의 리뷰

강좌 소개

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...

최상위 리뷰

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!

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.

필터링 기준:

자연 언어 처리의 102개 리뷰 중 1~25

교육 기관: Bayram K

Aug 19, 2018

I can't see anything educational in this course. I frustrated. Simple recitation of facts from NLP articles and nothing more. Programming projects are disconnected from videos., i.e, upon watching video don't expect to understand how to complete a programming project or at least to understand what you have to do in order to pass the assignment. This course is the worst I have ever seen on Coursera.

교육 기관: Daniel I

Jun 03, 2018

The course is very poorly explained, in comparison with other similar ones in Coursera.

Unless you have already some knowledge on the matter, it's pretty difficult to learn it just by watching the course's videos.

교육 기관: Aleksandar J

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.

교육 기관: Hanna P

Feb 24, 2019

A lot of information on a very high level but with reference to papers. Papers are a little bit dated for now, but this is due to rapid progress of NLP as a field of study. Assignments which need to be peer reviewed are painful, because you don't know when someone will check your work. This is due to not many learners simultaneously at class. In general, the course provides helpful advice when working with NLP and reveals some of the core approaches. Also, there is enough practice here, which is great.

교육 기관: Tianqi L

Jul 08, 2018

Anna is a great instructor. She can explain the concept and mathematical formulas in a clear way. The design of assignment is both interesting and practical.

교육 기관: Gabriel P

Feb 24, 2019

Useful videos and assignments, although some are very unclear. The last assignment has really bad documentation of what everything is actually doing and it includes setting up a ubuntu instance on AWS, chat bot on telegram and tons of other stuff, and there are very vague explanations of how everything is linked together. But in the end when everything was done, i felt like ive learned a lot, including things out of the scope of teh course.

교육 기관: Jaime A

Jun 21, 2018

Very good advanced course on NLP covering both statistical and deep learning modeling approaches. Very well cemented by programming assignments in python and real-world acht bot application using Telegram and Amazon Web Services free tier solution. Check the pre-requisites because this is an advanced course requiring some previous knowledge of NLP, linguistics, machine learning, deep learning and above all python programming and some AWS and Docker basic knowledge. Staff is very responsive and supportive on the forum. Finally, don't underestimate the time it takes to go through all videos, quizzes, and programming assignments -the guidance given is on the low end.

교육 기관: Alexander S

Nov 19, 2018

This is the most rigorous NLP course that I could find on Coursera or any other MOOC provider. A thorough introduction to both classical and NN models for a variety of NLP problems and tasks, drawing upon recently published articles.

The quizzes and programming exercises do at times exceed the content covered in the lectures, but if one does not mind supplementing the lecture content with self-study/problem solving, then this is not so much an issue.

The main suggestion that I would give is to reduce the numbe of peer-graded assignments (there were 3 in the span of this 5-week course). The peer grading component is time-consuming and error-prone.

교육 기관: mirgahney h a m

Aug 02, 2018

Amazing course lot of stuff to learn and it is very interesting with a good mix between the classical tools of NLP and more advanced one like deep learning.

교육 기관: Xinghao G

May 07, 2019

Are you kidding me? What are you talking about in courses? I have to re-study everything after each video because it just doesn't help you understand the theories at all.

교육 기관: Vasudha A

Mar 20, 2018

The course instructors do a bad job of explaining the basic concepts for anything in the Week 1 itself. They are inclined towards using jargons form the field, providing no context of basis of using the different algorithms or concepts. This course is probably, only, suitable for people who need a quick refresher on something they already know very well. I will not recommend this course if your aim is to LEARN NLP.

교육 기관: Qingsheng L

Aug 04, 2019

Course material is not up-to-date: You cannot imagine an NLP course that doesn't know Transformer or Bert in 2019.

Assignments are too easy: It isn't really useful for understanding the algorithms introduced in the course.

Not deep enough: Many algorithms were introduced, but briefly. It doesn't help you prepare a interview or anything, because without a deep understanding in the algorithm, you can hardly impress the interviewer.

In general, I don't recommend this course. It's not hard to accomplish and earn a certificate; but it can hardly be useful for your career.

교육 기관: Glorian Y

Dec 12, 2018

Very good course with tough assignments. Expect to take more time to digest the material on the video and work on the assignments

교육 기관: Milos V

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 :)

교육 기관: Patrick R

Jun 14, 2018

Very interesting, qquite advanced and you need to invest time for the assignments, but worth it in my opinion

교육 기관: Seongeun S

Aug 28, 2018

Great introduction to NLP. But NLP is too huge topic so need to study more about this when really want to work at company.

교육 기관: Mike D

Jul 12, 2019

Deadline passed, no review. I submitted my Honors assignment 8 hours before the submission deadline, exactly when I was supposed to in order to ensure a peer review. I performed reviews on a number of other students' works, as required. Yet my work remained unreviewed for months, until a student from one of the next classes felt charitable.

교육 기관: Lucy L

Dec 13, 2018

the best nlp online course

교육 기관: 芦昌灏

Dec 05, 2018

wonderful course!

교육 기관: Cindy P

Dec 05, 2018

お疲れ様です。ありがとうございます。

교육 기관: 刘尧

Dec 27, 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.

교육 기관: Hassan B

Dec 31, 2018

Is the best NLP course i have ever seen !!!!!!!!

교육 기관: yang

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.

교육 기관: Amartya C

Feb 19, 2019

It is a great course having both mix of traditional ML and deep NLP approaches (the new might be better but we need to know the prevalent ways a decade ago!). Should keep the content updated with always developing field of NLP. Assignments are really useful to understand the subject and stays as a starter code for new projects you wanna start. I would like to convey my thanks to the instructors !!

교육 기관: Keshav V J

Jan 26, 2019

Extremely good teachers and content was up to date with current research. Definitely one of the best courses on Coursera.