machine-comprehension topic
ALBERT-TF2.0
ALBERT model Pretraining and Fine Tuning using TF2.0
awesome-qa
😎 A curated list of the Question Answering (QA)
R-NET-in-Tensorflow
R-NET implementation in TensorFlow.
multi-task-NLP
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
QANet
A Tensorflow implementation of QANet for machine reading comprehension
R-Net
Tensorflow Implementation of R-Net
MnemonicReader
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
Match-LSTM
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
QANet_dureader
QANet+DuReader中文机器阅读理解
FusionNet-NLI
An example for applying FusionNet to Natural Language Inference