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?


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