Here is the process for finding the “best” answer

[jsarmin]

This filter is itself an algorithm based on machine learning. A filter that learns to identify and remove anything that is useless, offensive, or harmful to Bing's reputation. For example:

Hate speech.

Adult content.

Fake news.

Offensive remarks.

The filter does not change the ranking or the “best answer” choice, in case this filter is triggered, it simply removes the featured snippet.

Ali Alvi makes an interesting point here: they are armenia phone number data exercising their right not to answer a question.

Annotations are essential
“Fabrice and his team are doing really good work and we rely on it 100%,” says Ali Alvi. He goes on to say that they can’t build the algorithms that generate the Q&A without Fabrice Canel’s annotations: they allow the algorithm to easily identify the relevant chunks, jump to them and extract the appropriate passage, no matter where it is in a document (Cindy Krum’s “  Fraggles  ”).


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But it seems that Canel's annotations do much more than identify blocks: they even suggest possible relationships between different blocks in the document, which makes it much easier to write a table of contents on the fly by taking text from different parts of the document.