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Question answering system using entity extraction and knowledge graph construction
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This project's main objective is to implement different and novel approaches to autonomous question answering systems. Here we are evaluating the advantages and disadvantages of the two different methods. We are studying each approach methodically in order to generate the best case results under which each scenario, that can be used to solve queries and answer the questions efficiently.
We programmed the knowledge graph representation project in order to obtain the entities such as subject, predicate and object. These entities are later used for the question answering.
We programmed the knowledge graph representation project in order to obtain the entities such as subject, predicate and object. These entities are later used for the question answering.
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