ChatGPT pulls most from early sections, favoring direct definitions, balanced tone, and dense entities, new research finds.

Abstract: Text classification is one of the central challenges in natural language processing, encompassing techniques for cate-gorizing large amounts of text data into meaningful categories. This ...

Large pre-trained language models have become a crucial backbone for many downstream tasks in natural language processing (NLP), and while they are trained on a plethora of data containing a variety ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

Abstract: The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster ...

ABSTRACT: Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during ...

ABSTRACT: This study addresses the challenges of data noise and model interpretability in depression diagnosis by proposing an intelligent diagnostic framework based on real-world medical scenarios.

Chinese word Segmentation refers to dividing a sentence into individual words (similar to “punctuation”). Text Classification refers to categorizing a passage into a specific type of information (e.g.