[SheinhardtWigCo]

Honest version:

> Why it matters:

> Improving NLP allows us to create better, more seamless human-to-machine interactions for tasks ranging from identifying dissidents to querying for desperate laid-off software engineers. TaBERT enables business development executives to improve their accuracy in answering questions like “Which hot app should we buy next?” and “Which politicians will take our bribes?” where the answer can be found in different databases or tables.

> Someday, TaBERT could also be applied toward identifying illegal immigrants and automated fact checking. Third parties often check claims by relying on statistical data from existing knowledge bases. In the future, TaBERT could be used to map Facebook posts to relevant databases, thus not only verifying whether a claim is true, but also rejecting false, divisive and defamatory information before it's shared.

[nl]

Why are you making fake quotes here?

Most of the data in the world is in tables, and most people don't speak SQL. A very large purpose of computers has been for managing and querying this data and there is nothing nefarious at all about that.

Translating between the two is something that there have been many attempts at.