A Survey on Why-Type Question Answering Systems

TL;DR

This survey reviews the development, architecture, and research challenges of Why-type Question Answering Systems, highlighting their role in enhancing fact-finding and analysis in natural language queries.

Contribution

It provides a comprehensive overview of Why-type QA systems, detailing their architecture, processes, and future research directions.

Findings

Major research on Why-type questions began in early 2000s

The survey identifies key components of Why-type QA system architecture

Suggestions for future research areas in Why-type QA systems

Abstract

Search engines such as Google, Yahoo and Baidu yield information in the form of a relevant set of web pages according to the need of the user. Question Answering Systems reduce the time taken to get an answer, to a query asked in natural language by providing the one most relevant answer. To the best of our knowledge, major research in Why-type questions began in early 2000's and our work on Why-type questions can help explore newer avenues for fact-finding and analysis. The paper presents a survey on Why-type Question Answering System, details the architecture, the processes involved in the system and suggests further areas of research.