Reading Comprehension
Showing 7 of 7 projects
A PyTorch system for open-domain question answering by retrieving and reading documents, originally applied to Wikipedia.
Script to generate question/answer pairs from CNN and Daily Mail articles for machine reading comprehension research.
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 reading comprehension dataset with Wikipedia summaries, full stories, and question-answer pairs for narrative understanding.
A PyTorch implementation of the DrQA model for reading comprehension and open-domain question answering.
Tools for compiling and using the Maluuba NewsQA dataset, a machine reading comprehension dataset based on CNN articles.
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