A Survey on Why-Type Question Answering Systems

November 12, 2019 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey on Why-Type Question Answering Systems"

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Authors Manvi Breja, Sanjay Kumar Jain arXiv ID 1911.04879 Category cs.CL: Computation & Language Cross-listed cs.IR Citations 1 Venue arXiv.org Last Checked 4 days ago
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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