Keywords
Natural Language Processing
Information Retrieval
How to Cite
Abstract
Question answering (QA) systems have garnered significant attention in recent years due to their ability to provide direct and precise answers to user queries. These systems are crucial in various applications such as information retrieval, customer service, and education. However, designing effective QA systems poses several challenges, including handling natural language queries, understanding context, and efficiently retrieving answers from large text corpora. This paper provides an overview of the architectures of QA systems and discusses the key challenges faced in their development and deployment. We analyze the current state-of-the-art techniques and propose future research directions to enhance the performance and usability of QA systems.
References
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