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返回到 自然语言处理

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

4.6
551 个评分
131 条评论

课程概述

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...

热门审阅

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.

筛选依据:

101 - 自然语言处理 的 125 个评论(共 131 个)

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.

创建者 Зубачев Д С

Oct 02, 2019

It was a good course. All in one breath. I would like to have more practical tasks in which you need to write more code yourself, and not just fill in the missing cells. Of course, I am very grateful to Anna and Andrey for their work. Separately, we would like to note the penultimate task-the final project. It is complex and interesting. I believe that it would be correct to use the computing power of Azure instead of AWS.

创建者 Arnaud R

Apr 15, 2018

Great course !

Learned a lot. Removed one star because I felt they tried to jam too much content into 5weeks which resulted in some content to be rushed and given only a singular question in a quiz. The course would have deserved 1 or 2 more weeks to dilute the content a bit.

However you ll still learn very relevant skills in the assignements and the course provide a lot of links for you to learn more in X or Y subject.

创建者 Neel K

Sep 17, 2019

Course is well organized. Just some problems are related to assignments, There no exact guided steps for assignments and quiz. Lectures are more concerend about theory and less about pragmatic problems. Please make discussion forums active and more connected. Course does not have option to send message to anyone personally take help and advice which is something unrealistic.

创建者 Игнатовская В А

Dec 06, 2018

There were basic introduction as for me, without almost any proofs and mathematical constructions. It was interesting but after this course actually I can't say that now I can do it from the beginning to end for myself, only some functions to include in existing code. Last instruction about AWS was terrible! There were too many questions about it!!!!

创建者 Fernaldy A F

Aug 29, 2018

Great course but not easy one.. You must have required knowledge..

You need extra effort to finish quizzes or assignments, and also search in forum discussion or internet..

I think, the lectures are too theoretical, but that's good if you are curious or researchers that need to know about state of the art related NLP..

Overall this is worthy to take..

创建者 Mark Z

Jun 11, 2019

Overall great intro to NLP. Basic techniques like word embeddings and attention are explained quite well. However, some topics are not really easy to remember from this course, such as Topic modeling using LDA (which I understood much deeper during Bayesian Methods for Machine Learning course from the same specialization).

创建者 João B P M J

Dec 08, 2019

I think the provided material needs to be updated. Specially the material concerning TensorFlow. Many subjects and assignments let us wondering too much because it because there is a mismatch between the theoretical and the practical, and because the TensorFlow isn't updated it was hard to find additional help online.

创建者 Zhaoqing X

Jul 25, 2018

It's a very nice course! It involves so many aspects in NLP, and the assignments are especially valuable. The only thing I'm not satisfied is that it lacks enough help from the material and the forum when I got a bug from my assignments or confused by the instruction.

创建者 Akash S

May 22, 2018

Very good course!! A big thanks to all the instructors. However I feel the course covered a lot of stuff which affected its focus. May be it would have been better to focus on fewer techniques but in greater detail both in theory and assignments.

创建者 Helmut G

Jul 10, 2018

Nice course. However, trying to pass the assignments can sometimes feel like a nightmare, because there is no feedback from the grader that would lead you into the right direction. Luckily you can get useful information in the discussion forum.

创建者 Mika R

Nov 20, 2019

I would recommend the mention of the library version in each given code to avoid the wrong use of the arguments and even attributes. For instance tf 2.0 do not have contrib and yet in certain part of the code, we are "required" to use that.

创建者 Putcha L N R

Dec 25, 2018

Anna and group is great at teaching. However, a lot of graded assignments were a lot ambiguous with many important details missing. It would be a lot more helpful, if the content needed for assignment is explicitly mentioned! Thank you!

创建者 Ajeet S

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.

创建者 Santoshi K

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.

创建者 Hampus L

Jun 06, 2019

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!

创建者 Francisco R

Aug 21, 2018

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

创建者 Johannes J

Jan 14, 2019

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

创建者 Ankit G

Nov 18, 2018

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

创建者 Daksh M

Apr 06, 2019

It has less content on abstractive summarization.

创建者 Alejandro G

May 16, 2018

Nice introduction and very practical

创建者 Wei Z

Aug 22, 2018

Good but some content felt rushed

创建者 Himanshu B

Dec 19, 2019

Nice course for leaning NLP! :)

创建者 rashmi

Mar 29, 2019

good

创建者 Luke B

Jun 03, 2019

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.