Important paper implementations for Question Answering using PyTorch
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Updated
Dec 29, 2020 - Jupyter Notebook
Important paper implementations for Question Answering using PyTorch
An Implementation of Bidirectional Attention Flow
Fixed some bugs and edited original baseline scripts from MS MARCO
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
Extractive Question Answering on SQuAD 2.0
Implementation of QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension using BIDAF
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