It is a question-generator model. It takes text and an answer as input and outputs a question.
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.
Docker ver. 17.03+:
Docker-compose ver. 1.13.0+: https://docs.docker.com/compose/install/
Python 3
pyzmq dependencies: Ubuntu sudo apt-get install libzmq3-dev
or for Mac brew install zeromq --with-libpgm
./setup
.
This script downloads torch question generation model,
installs python requirements, pulls docker images and runs
opennmt and corenlp servers../get_qnas "<text>"
- takes as input text and outputs tsv.
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