0
$\begingroup$

As Named-Entity Recognition algorithm is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, places .. etc Can we train a model to check human name checking based on dataset of one label only? (dataset of real human names) ? would it be possible? or we shall provide negative dataset as well?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.