{"id":3087,"date":"2020-05-25T09:48:25","date_gmt":"2020-05-25T09:48:25","guid":{"rendered":"https:\/\/www.lasquellec.com\/?p=3087"},"modified":"2020-05-29T12:51:21","modified_gmt":"2020-05-29T12:51:21","slug":"what-is-google-bert","status":"publish","type":"post","link":"https:\/\/www.lasquellec.com\/en\/what-is-google-bert\/","title":{"rendered":"What is Google BERT?"},"content":{"rendered":"

Google BERT, one of the biggest leaps forward in the history of research.<\/h2>\n

 <\/p>\n

we are dramatically improving the way we understand queries, which is the biggest leap in the past five years, and one of the biggest leaps in research history. <\/span><\/p>\n

Pandu Nayak – Google Fellow and Vice President, Search<\/div>\n<\/blockquote>\n
Source  : Google BERT<\/a><\/div>\n

\"google<\/p>\n

Example of result before Google BERT and after Google BERT<\/h2>\n

\"google-bert-before-after\"<\/p>\n

Definition of Google BERT<\/h2>\n

In automatic natural language processing, BERT<\/strong>, acronym of Bidirectional Encoder Representations from Transformers<\/strong>, is a language model developed by Google in 2018<\/strong>. This method has significantly improved automatic language processing algorithms.<\/span> Wikip\u00e9dia<\/a><\/span><\/p><\/blockquote>\n

Google BERT is an algorithm that helps better understand natural language.<\/p>\n

Explanation of Google BERT by Olivier Duffez<\/h2>\n

(Lien sur image)<\/p>\n

\"google<\/a><\/p>\n

Explanation in video of Google BERT by Olivier Andrieu<\/h2>\n