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"Distractor Generation for Multiple Choice Questions Using Learning to Rank" (Liang et al. 2018)

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LTR-DG

Data and code used for paper "Distractor Generation for Multiple Choice Questions Using Learning to Rank" (Liang, BEA'18).

Dataset

Datasets can be found under "data".

Code

To be updated.

Data Preparation

  1. Download glove.840B.300d.txt to folder data_embeddings

  2. Convert json format data to txt format data

./dataConvertDistractor.sh

Train and Test

./train_distractor.sh
./test_distractor.sh

Credits

We thank the Wang et al. 2017 for their IRGAN implementation.

Reference

@inproceedings{Liang2018distractor,
  author = {Liang, Chen and
            Yang, Xiao and
            Dave, Neisarg and
            Wham, Drew and
            Pursel, Bart and
            Giles, C. Lee},
  title={Distractor Generation for Multiple Choice Questions Using Learning to Rank},
  booktitle = {Proceedings of the 13th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@NAACL},
  pages={284--290},
  year={2018},
  organization={ACL}
}

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  • Python 98.1%
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