Showing 6 of 6 projects
A deep learning model for machine comprehension that uses bi-directional attention flow to answer questions about text passages.
An open-source study on neural question generation using transformers, providing simplified training and inference pipelines.
A TensorFlow implementation of QANet for machine reading comprehension on the SQuAD dataset.
TensorFlow implementation of R-Net for machine reading comprehension on the SQuAD dataset.
A PyTorch implementation of the DrQA model for reading comprehension and open-domain question answering.
A Keras implementation of Microsoft's R-NET neural network for question answering on the SQuAD dataset.
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