Tuesday, August 31, 2021

Using pre-trained language models for database queries on unstructured data

Very interesting research done by researchers at Facebook!

"... Facebook AI has developed a new approach called neural databases, which enables machines to search unstructured data — which might range from vast collections of text to recordings of songs — similar to how traditional systems can search a typical structured database. With neural databases, it might one day be possible to run a complex query such as “What is the third-longest entry about a Russian-born novelist?” directly on Wikipedia, for example.

Neural databases bridge an important gap between the fields of databases and NLP. Significant progress has been made in using natural language queries on standard structured data. This lets people pose ad hoc queries such as “How many teams won away games by more than three points?” But these existing systems can’t query a collection of information that isn’t organized into a structured database. ..."

Using pre-trained language models for database queries on unstructured data


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