Enhancing Contextual Understanding in Chatbots and NLP
Jamshaid Iqbal Janjua, Muhammad Irfan, Tahir Abbas, Anaum Ihsan, Bahadur Ali
Abstract
Emergence of global collective human wisdom from chatbots is the silver lining in Natural Language Processing (NLP) systems. This study delves into the progress made in enhancing contextual understanding in chatbots and NLP systems. The ability of chatbots to comprehend and respond contextually to user inputs is crucial in creating more human-like and effective conversational agents. This paper reviews the existing approaches, challenges, and recent breakthroughs in the field, offering insights into the methodologies employed to improve contextual understanding. Moreover, the article further outlines the possible uses, moral issues, and the prospective research in the area. Though the growing advancements in chatbots and NLP systems have made a difference in the way people communicate with computers, challenges still remain with regards to the sense of context or context awareness.