Harnessing Natural Language Processing for Conversational AI: Evolution, Challenges, and Future Directions
Sai Kalyana Pranitha Buddiga · Journal of Artificial Intelligence Machine Learning and Data Science · 2023
Conversational AI, powered by Natural Language Processing (NLP), has witnessed remarkable evolution, presenting transformative opportunities and challenges across diverse domains.This paper delves into the intricate relationship between NLP and Conversational AI, exploring their evolution, current challenges, and future trajectories.Beginning with a historical overview, it traces the journey from rule-based systems to modern machine learning approaches, highlighting pivotal advancements in NLP that have shaped Conversational AI.Core NLP concepts essential for enabling conversational interactions are dissected, including language understanding and generation.Challenges such as ambiguity resolution, context retention, and user intent understanding are scrutinized alongside state-of-the-art techniques, including the emergence of Large Language Models (LLMs) like GPT.Ethical considerations, including bias mitigation and privacy preservation, are addressed, followed by an exploration of future directions, encompassing multimodal interactions and the evolving role of LLMs.This paper offers insights into the dynamic landscape of NLP-driven Conversational AI, serving as a compass for researchers, practitioners, and enthusiasts navigating its evolving terrain.