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Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0

A spoken question answering dataset on SQUAD

This dataset contains human judgements about answer equivalence. The data is based on SQuAD (Stanford Question Answering Dataset), and contains 9k human judgements of answer candidates generated by Albert on the SQuAD train set, and an additional 14k human judgements for answer candidates produce... Read more

Ensemble and Multitask Learning with BERT for Question Answering on SQuAD 2.0

Question Answering task using Deep Learning on SQuAD dataset

recurrent attention based on keras. Question Answering SQUAD dataset

Question Answering model based on DistilBERT, trained and evaluated on the SQUAD dataset

Tensorflow implementation of DCN for question answering on the Stanford Question Answering Dataset (SQuAD)