Automatic Question Answering Systems: A Comprehensive Review

Abstract

Users can use search engines such as Google and Yahoo! to search for documents on the World Wide Web. It takes time, but the user of a search engine must go through each document to find an answer that is relevant to the question. The Query Answering (QA) method reduces the amount of time spent searching for the exact answer to a question. The study of question-answering systems is an important aspect of the field of information retrieval. The year 1960 saw the start of research into question-answering systems, and since then, a plethora of different question-answering systems have been developed. The Question Answering system combines research from several fields, including Natural Language Processing, Artificial Intelligence, Information Retrieval, and Information Extraction. The goal of a question answering system is to provide a precise response in natural language to the user's question. The availability of various resources for responses is used to differentiate between different types of question answering systems. In comparison to the open domain question answering system, the closed domain question answering system provides more precise and accurate responses.