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A Comprehension-based Question Answering System that extracts semantic and syntactic understanding from text through deep learning.

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EruditeX

A Comprehension based Question Answering System

Designed as a multi-staged modular system combining both traditional NLP and deep learning techniques with a novel Vectorized Dependency Tree-based approach.

This model is capable of open-domain question answering from context passages by extracting information from an uploaded document and analyzing against user queries to produce relevant answers.

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A Comprehension-based Question Answering System that extracts semantic and syntactic understanding from text through deep learning.

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  • Python 99.8%
  • Shell 0.2%