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rajia rimi
Jun 18, 2022
In Interior Design Forum
Natural language processing (NLP) refers to a branch of artificial intelligence that deals with linguistics, with the goal of enabling computers to understand how humans communicate Industry Email List naturally. Examples of advancements made possible by NLP include social listening tools, chatbots, and word suggestions on your smartphone. In itself, NLP Industry Email List is not a new feature for search engines. BERT, however, represents a breakthrough in NLP through two-way training (more on that below). How does BERT work? BERT's breakthrough lies in its Ability to train language models based on the set of words in a sentence or query (bidirectional training) rather than the traditional method of learning on the Industry Email List ordered sequence of words ( left-to-right or combined left-to-right and right-to-left). BERT allows the language model to learn the context of words based on the surrounding words rather than just the Industry Email List word immediately preceding or following it. Google calls BERT "deeply two-way" because contextual representations of words start "from the bottom of a deep neural network." “For example, the word ' bank ' would have the same context-free representation in ' bank account ' and ' river bank'. “ Contextual models instead generate a representation of Industry Email List each word based on the other words in the sentence. For example, in the sentence “ I accessed the bank account ”, a one-way context model would represent “ bank ” based on “ I accessed the ” but not “ account ”. However, BERT represents “ bank ” using both its preceding and following context – “ I accessed the account …”. » Google showed several examples of the impact of applying BERT in search Industry Email List results. In one example, the query “adult math practice books” previously surfaced a listing for a grade 6-8 book at the top of the organic results. With BERT applied, Google displays a listing for a book called
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