A Literature Survey of Recent Advances in Chatbots

TL;DR

This survey reviews recent advances in chatbot technology, focusing on AI and NLP methods, highlighting challenges, limitations, and future research directions to improve automated conversational systems.

Contribution

It provides a comprehensive overview of recent developments in chatbot AI and NLP, identifying key challenges and proposing future research avenues.

Findings

Recent AI and NLP techniques have significantly improved chatbot capabilities.

Current challenges include understanding context and maintaining conversation coherence.

Future research should focus on addressing limitations and enhancing chatbot intelligence.

Abstract

Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation.