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Traitement automatique du langage naturel, Université nationale de recherche, École des hautes études en sciences économiques

4.7
286 notes
69 avis

À propos de ce cours

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....

Meilleurs avis

par 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!

par TL

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.

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68 avis

par Amartya Chaudhuri

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 !!

par Christian Geishauser

Jan 31, 2019

Awesome course, I really learned a lot and the projects are really interesting, especially the final project!

par Xuan WANG

Jan 29, 2019

Very good course with broad introduction of the state of the art technologies for NLP. Well designed and interesting homework as well.

par Keshav Vinayak Jha

Jan 26, 2019

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

par Johannes Jones

Jan 14, 2019

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

par 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.

par Hassan Badawy

Dec 31, 2018

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

par 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.

par Putcha Lakshmi Narasimha Rahul

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!

par Lucy Lu

Dec 13, 2018

the best nlp online course