From Words to Meaning: Enhancing Contextual Understanding in Conversational AI

Authors

  • Shujaat Ali Rathore*
  • Muhammad Hammad u Salam
  • Muhammad Irfan
  • Sidra Zulfiqar

Abstract

This research paper delves into the progress made in enhancing contextual understanding in chatbots and Natural Language Processing (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. Additionally, it discusses potential applications, ethical considerations, and future directions for research in this evolving domain. The rapid evolution of chatbots and Natural Language Processing (NLP) systems has transformed human-computer interactions, yet challenges persist in achieving robust contextual understanding.

Keywords: Natural Language Processing, Chatbots, Machine Learning, Linguistics.

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Published

2025-10-07

How to Cite

Shujaat Ali Rathore*, Muhammad Hammad u Salam, Muhammad Irfan, & Sidra Zulfiqar. (2025). From Words to Meaning: Enhancing Contextual Understanding in Conversational AI. Dialogue Social Science Review (DSSR), 3(10), 34–45. Retrieved from https://dialoguesreview.com/index.php/2/article/view/1057

Issue

Vol. 3 No. 10 (2025): Dialogue Social Science Review (DSSR)

Section

Computer Sciences

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