TPKE-QA: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement
Q Xiao, R Li, J Yang, Y Chen, S Jiang… - Expert Systems with …, 2024 - Elsevier
Few-shot extractive question answering (EQA) is a challenging task in natural language
processing, whose current methods are mainly based on pretrained language models …
processing, whose current methods are mainly based on pretrained language models …
Population-based evolutionary search for joint hyperparameter and architecture optimization in brain-computer interface
In recent years, deep learning (DL)-based models have become the de facto standard for
motor imagery brain-computer interface (MI-BCI) systems due to their notable performance …
motor imagery brain-computer interface (MI-BCI) systems due to their notable performance …
Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network
Sleep quality is an essential parameter of a healthy human life, while sleep disorders such
as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold …
as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold …