Proprietary NLP algorithms and multi-source data deliver the industry's most granular view of AI search behavior by ...
Abstract: This study has conducted several activities to analyze and compare the performance of five Natural Language Processing (NLP) models: GPT-3, T5, ERNIE, BERT, and XLNet for generating academic ...
Abstract: This study explores the development of AI-powered adaptive systems for English language learning, focusing on leveraging Recurrent Neural Networks (RNNs) and Natural Language Processing (NLP ...
Children whose asthma met the criteria of both the PAC and API algorithms had greater risk for pneumonia and influenza vs those meeting criteria of only one algorithm. Children with asthma at high ...
ABSTRACT: This study investigates the preferences and perceptions of university students in China towards Artificial Intelligence-enhanced English as a Foreign Language (EFL) learning tools. As the ...
ABSTRACT: This study presents and explores the “Metamorphosis Formula,” a theoretical framework designed for analyzing structural and morphological transformations in language, influenced by ...
AN ONGOING CHALLENGE at many cancer centers is accurately identifying the TNM staging of patients for data reporting purposes. This can occur due to the time-consuming task of manually reviewing ...
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