Shulou(Shulou.com)06/03 Report--

Articles on artificial intelligence natural language processing collected in the first half of 2019

The Development History and related system of Natural language (NLP)

Read this article and become an NLP engineer with an annual salary of one million dollars.

Focus on machine "reading, writing, speaking and translation" to explore the future of NLP

NLP next Golden decade-Zhou Ming and others talk about the noteworthy NLP technology.

Artificial Intelligence Science Popularization | Natural language processing (NLP)

Why learn NLP?

Four creative ways for AI researchers to collect NLP data (Daniel sharing)

A Survey of attention Mechanism in Natural language processing

8 methods to solve 90% of NLP problems

Zhou Ming: how NLP advances will change the search experience

With the development of enabling industry, how can NLP avoid walking into a "dead end"?

NLP in Chinese

What kind of NLP library can support 53 languages?

An overview of deep learning techniques in NLP (part I)

NLP next Golden decade-Zhou Ming and others talk about the noteworthy NLP technology.

Read this article and become an NLP engineer with an annual salary of one million dollars.

Word Vector in NLP and its Application

Why is NLP relatively difficult?

8 kinds of excellent pre-training models are counted and so easy is applied to NLP!

What is the magic of the "natural language processing technology" that makes machines understand human words?

Dynamic memory Network: a step closer to General NLP

[intensive reading] RNN on the basis of natural language processing

Pure practical information | the BERT articles you have seen so far are more thorough, which are highly recommended

Innovation in Bert era: comparison of Bert Application modes and others

Why is BERT performing so well in NLP?

Deep Bidirectional Transformation pre-training of BERT for language comprehension

BERT Fire but you don't know Transformer? Just read this one.

The sample BERT with 100 million parameters and 40,000 samples still doesn't understand human speech. How far are we from General NLP?

Flair: a simple but technologically advanced NLP library!

A collection of deep NLP models implemented by Tensorflow (with resources)

Deep Learning: natural language processing (5) Classical Application of NLTK

The Director of Ali Natural language processing Department shares: the Application and thinking of NLP Technology

Existing models still "don't understand" natural language: more than 20 researchers talk about the four open problems of NLP

Academic circles | read machine translation papers together with the Natural language processing and Social Humanities Computing Laboratory of Tsinghua University

2019-06-23 was written in Suzhou.

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