Множественная аннотация

method ID: multilabelannotation

Related Papers

Learning with Different Amounts of Annotation: From Zero to Many Labels

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractTraining NLP systems typically assumes access to annotated data that has a single human label per example. Given imperfect labeling from annotators and inherent ambiguity of language, we hypothesize that …...

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