A Survey of Question Answering System for Comparable Entity Mining

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Big Data
Format: PDF
Comparing individual object with one more is a characteristic component of individual assessment making process. Though, it is not forever straightforward to be familiar with what to evaluate and what are the alternating entity to find the exact information retrieval system. In this paper, learning the number of technique that mechanically evaluates the questions and entity designed for mining consumer outcome for information extraction. Several methods have been anticipated in earlier work to solve the problem of entity mining outcomes and none of the work have been studied the accurate foundation of comparable entities, but supervised knowledge technique give an well-organized learning outcomes for comparable entities for different questions and routinely mine equivalent entities as of relative query with the intention of users posted online.
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