Deep learning models have achieved state-of-the-art performance for text classification in
the last two decades. However, this has come at the expense of models becoming less …

Purpose To understand the meaning of a sentence, humans can focus on important words in
the sentence, which reflects our eyes staying on each word in different gaze time or times …

Deep neural networks (DNNs) have advanced many machine learning tasks, but their
performance is often harmed by noisy labels in real-world data. Addressing this, we …

Pre-trained transformers are highly effective across numerous Natural Language Processing
(NLP) tasks, yet their ability to generalise to new domains remains a concern due to their …