Algorithms that fall under the label “ natural language processing (NLP) ” are deployed to roles in industry and homes.

These are great examples that show how powerful such a model can be, but there are also real life business applications of these algorithms.

You can’t, however, feed and pet an orange. How it translates to NLP. Algorithms based on distributional semantics have been largely responsible for the recent breakthroughs in NLP.

NLP algorithms designed for language, words and sentences, can also be used to read genetic changes in viruses—including coronavirus, HIV and flu—speeding up lab work to spot new variants.

One example Google gave was the search query “2019 brazil traveler to usa need a visa”. The old algorithm would return search results for U.S. citizens who are planning to go to Brazil. BERT, on the ...

Nuance is always a struggle—e.g., ambiguity, metaphors, sarcasm—but the state-of-the-art in NLP can be usefully applied: chatbots can answer questions from knowledge bases, apps can translate ...

As firms demand more data to find alpha, better manage risk, and more efficiently handle regulatory needs, they are having to turn to artificially-intelligent tools, namely, algorithms that ...

To that, the new algorithm adds in other aspects, such the words' syntactic roles. If an adjective appears before "discharge," for instance, it's much more likely to refer to a bodily secretion.