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It is a question-generator model. It takes text and an answer as input and outputs a question.

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deeppavlov/question_generation

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Description

It is a question-generator model. It takes text and an answer as input and outputs a question.

Question generator model trained in seq2seq setup by using http://opennmt.net.

Environment

Setup

  • run ./setup. This script downloads torch question generation model, installs python requirements, pulls docker images and runs opennmt and corenlp servers.

Usage

./get_qnas "<text>" - takes as input text and outputs tsv.

  • First column is a question,
  • second column is an answer,
  • third column is a score.

Example

Input:

./get_qnas "Waiting had its world premiere at the \
  Dubai International Film Festival on 11 December 2015 to positive reviews \
  from critics. It was also screened at the closing gala of the London Asian \
  Film Festival, where Menon won the Best Director Award."

Output:

who won the best director award ? menon -2.38472032547
when was the location premiere ?  11 december 2015  -6.1178450584412

Notes

  • First model feeding may take a long time because of CoreNLP modules loading.
  • Do not forget to install pyzmq dependencies.

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It is a question-generator model. It takes text and an answer as input and outputs a question.

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