Natural Language Processing @ KAIST

CS492 Machine Learning for Natural Language Processing

The idea of using CNN for text-based multiple choice question answering is a novel idea back in 2017. And surprisingly the CNN model outperformed traditional LSTM models in this task. Our project for this course is to reimplement a CNN based question answering model from a paper and carry out modifications in order to investigate how we may further improve the model.

Model architecture from the [paper](https://aclanthology.org/P18-2044) CNN for Text-Based Multiple Choice Question Answering
Model architecture from the paper CNN for Text-Based Multiple Choice Question Answering
Michelle Foo
Michelle Foo
PhD Student
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