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Neural Question Generation Model for generating reading comprehension questions from text

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question-generation

Look into:

  • Sentence folder: for the sentence encoder based model (Recommended)
  • Paragraph folder: for the sentence and paragraph encoder based model

Model

  • A BiLSTM Encoder for the sentence
  • A BiLSTM Encoder for the paragraph
  • Combination (Concatenation) of the final states of the two encoders act as the intial state for decoder
  • Several smaller tweaks to this
  • Uses ONMT library

Implementation: PyTorch

Ideas from: https://arxiv.org/abs/1705.00106

A report of the several different directions taken and the experiments is as follows:

Report: http://www.cse.iitd.ac.in/nlpdemo/ques_gen/report.pdf

Demo

Demo version has been hosted at: http://www.cse.iitd.ac.in/nlpdemo/ques_gen

Contributers

@Prakhar0409

@ArkaSaha

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Neural Question Generation Model for generating reading comprehension questions from text

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