Empathy–encompassing the understanding and supporting others' emotions and
perspectives–strengthens various social interactions, including written communication in …

We review the state of research on empathy in natural language processing and identify the
following issues:(1) empathy definitions are absent or abstract, which (2) leads to low …

BERT (Bidirectional Encoder Representations from Transformers) uses an encoder
architecture with an attention mechanism to construct a transformer-based neural network. In …

This paper describes our proposed system design for the WASSA 2023 shared task 1. We
propose a unified architecture of ensemble neural networks to integrate the original …

Empathy is a vital component of health care and plays a key role in the training of future
doctors. Paying attention to medical students' self-reflective stories of their interactions with …

Large language models (LLMs) have revolutionised numerous fields, with LLM-as-a-service
(LLMSaaS) having a strong generalisation ability that offers accessible solutions directly …

Emotion recognition in text is a complex and evolving field that has garnered considerable
interest. This paper addresses the pressing need to explore and experiment with new …

This paper describes our proposed system design for the WASSA 2023 shared task 1. We
propose a unified architecture of ensemble neural networks to integrate the original …

Code-switching is a common phenomenon in multilingual communities and is often used on
social media. However, sentiment analysis of code-switched data is a challenging yet less …

Emotion recognition in text, the task of identifying emotions such as joy or anger, is a
challenging problem in NLP with many applications. One of the challenges is the shortage of …