Objective: Few-shot learning (FSL) methods require small numbers of labeled instances for training. As many medical topics have limited annotated textual data in practical settings …
Objective: The present study aims to investigate changes in the frequency of parent-child contact among Europeans aged 65 years and over within the context of the COVID-19 …
J Nayem, SS Hasan, N Amina, B Das, MS Ali… - Data Driven Approaches …, 2023 - Springer
Deep learning becomes an elevated context regarding disposing of many machine learning tasks and has shown a breakthrough upliftment to extract features from unstructured data …
Recent research on robust representations of biomedical names has focused on modeling large amounts of fine-grained conceptual distinctions using complex neural encoders. In this …
Objective Few-shot learning (FSL) methods require small numbers of labeled instances for training. As many medical topics have limited annotated textual data in practical settings …
Pre-trained distributional representations of words and phrases have become omnipresent in natural language processing (NLP), where they have led to significant improvements in …