Как должна выглядеть разметка для обучения трансформера распознавать спецтерминологию?

For training a transformer to recognize specialized terminology, correct data annotation that highlights and labels these terms in the text is important. Usually, a format supporting entity annotation, such as BIO (Begin, Inside, Outside), is used.

Example of BIO annotation for a sentence with a term:

Token	Label
Introduction	O
to	O
neural	B-TERM
networks	I-TERM
and	O
their	O
application	O

Here, B-TERM indicates the beginning of a specialized term, I-TERM continues the term, and O means outside the term.

This format helps the transformer learn to identify and classify specialized terms in the text. It is important that the annotation is consistent and unambiguous, and that the data is diverse in the contexts in which terms are used.