ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling

arXiv:2402.16194v1 Announce Type: new
Abstract: Effective feature representations play a critical role in enhancing the performance of text generation models that rely on deep neural networks. However, current approaches suffer from several drawbacks, such as the inability to capture the deep semantics of language and sensitivity to minor input variations, resulting in significant changes in the generated text. In this paper, we present a novel solution to these challenges by employing a mixture of experts, multiple encoders, to offer distinct …

abstract arxiv attention chatbot cs.cl current emotion empathy feature language modeling networks neural networks performance role semantics sensitivity sentiment text text generation through type