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자연 언어 처리(으)로 돌아가기

HSE 대학의 자연 언어 처리 학습자 리뷰 및 피드백

4.4
별점
776개의 평가
198개의 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

DW
2020년 8월 2일

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.

AS
2019년 12월 17일

One of the best courses I took from coursera. Good mathematical knowledge, resources provided are related to current research. Assignments are more than expected.

필터링 기준:

자연 언어 처리의 201개 리뷰 중 176~200

교육 기관: Santoshi29 K

2019년 3월 21일

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

교육 기관: Hampus L

2019년 6월 6일

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!

교육 기관: Raúl A C G

2020년 12월 28일

Really nice course, you might want to add some more tips in the programming assignments but beside that really awesome content

교육 기관: Ruperto P B C

2020년 4월 3일

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

교육 기관: Archana C

2020년 6월 23일

More detailed explaination for week 5 project required. a video can be released for AWS use.

교육 기관: Francisco R

2018년 8월 21일

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

교육 기관: Johannes J

2019년 1월 14일

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

교육 기관: Ahmad A

2020년 7월 30일

More detailed slides and longer elaborating of ideas can be an advantage

교육 기관: ankit g

2018년 11월 18일

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

교육 기관: Daksh M

2019년 4월 6일

It has less content on abstractive summarization.

교육 기관: Pranay R K

2020년 6월 26일

Good content, but need to update the course

교육 기관: GUDURU B R

2020년 6월 1일

very hard .must have a lot of prerequisites

교육 기관: Alejandro G

2018년 5월 16일

Nice introduction and very practical

교육 기관: Wei Z

2018년 8월 22일

Good but some content felt rushed

교육 기관: Himanshu B

2019년 12월 19일

Nice course for leaning NLP! :)

교육 기관: Luis M R C

2020년 8월 26일

Great

교육 기관: Rashmisai B

2019년 3월 29일

good

교육 기관: Mikhail V

2021년 9월 18일

1. This course requires very large math background which I miss. It did not work for me at all.

2. I expected deep and complex explanation of the meaning, pros and cons, applicability of various natural language processing techniques to the real life problems.

In this course it goes like: few seconds of explanation for a model/algorithm/technique. Next long juggling with math formulas. Next a quiz requiring some calculation on a paper. And finally a practical task in jupyter (which were great).

I understood the first week quite good because I did a lot of it on an NLP-related project.

Second week - I caught myself that it is easier for me to fast-rewind the video with all the math and next find some guy from India at YouTube who explains the same topic in details. I solved the practical assignment on Tensorflow mostly without understanding what I am doing by Googling/reading articles/using the hints of the authors of the course and it worked. The same I did for the Quizes.

On the third week I decided to leave it and find something more suitable.

So: If this is intended for science people who are going to do researches in NLP - then this course is too broad, too fast and lacks of details on the topics explained.

If this is for practitioners like me - then there is too much of math while the provided approaches are already implemented in libs and the python assignments confirm this. And at the same time - too little time spent on each topic to not require learning somewhere else.

And there is almost no research on the applicability of this to the complex real world problems and new ideas while the provided examples are the few very known ones.

교육 기관: Luke B

2019년 6월 2일

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.

교육 기관: omar f

2019년 9월 2일

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-

교육 기관: Ravi K R B

2019년 8월 7일

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

교육 기관: RASHMI A

2020년 8월 3일

it was good but wanted programming vedeos rather than completely theory.

교육 기관: Y P R

2020년 1월 22일

Theoritical explanation was good but we expect practical explanation

교육 기관: Oleksandra P

2020년 5월 2일

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.

교육 기관: Joris D

2019년 9월 22일

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.