A Survey on Why-Type Question Answering Systems

2019/11/12 by Manvi Breja, Breja, Manvi, Sanjay Kumar Jain +1
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #cs.CL #cs.IR

paper · pdf · doi:10.48550/arxiv.1911.04879

arxiv created 2019/11/12 · arxiv updated 2019/11/13

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.

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