Domain Adaptation in Intent Classification Systems: A Review

arXiv:2404.14415v1 Announce Type: new
Abstract: Dialogue agents, which perform specific tasks, are part of the long-term goal of NLP researchers to build intelligent agents that communicate with humans in natural language. Such systems should adapt easily from one domain to another to assist users in completing tasks. Researchers have developed a broad range of techniques, objectives, and datasets for intent classification to achieve such systems. Despite the progress in developing intent classification systems (ICS), a systematic review of the progress …

abstract adapt agents arxiv build classification cs.cl dialogue domain domain adaptation humans intelligent language long-term natural natural language nlp part researchers review specific tasks systems tasks type