Abstract: The explosion of medical literature over the past decade has resulted in efficient and accurate techniques for text categorization to handle huge amount of data. This work combines ensemble ...

Abstract: Social bias stereotypes have recently raised significant ethical concerns in Natural Language Processing (NLP). NLP models, particularly those used for text classification, often perpetuate ...