A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
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Updated
Jul 5, 2018 - Python
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
Includes implementations of various Question-Answering models for the SQuAD dataset and other Research Experiments
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
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