There are 4 repositories under machine-comprehension topic.
A Tensorflow implementation of QANet for machine reading comprehension
😎 A curated list of the Question Answering (QA)
Tensorflow Implementation of R-Net
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
ALBERT model Pretraining and Fine Tuning using TF2.0
Mining individual characters in multiparty dialogue
Survey on Machine Reading Comprehension
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
An example for applying FusionNet to Natural Language Inference
Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
R-NET implementation in TensorFlow.
A question answering dataset for machine comprehension of spoken content
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
A spoken question answering dataset on SQUAD
Study for Natural Language Processing & Deep Learning Framework
Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components
List of papers, datasets and other resources related to Machine Comprehension
Bi-Directional Attention Flow for Machine Comprehensions
Machine Comprehension using Squad and Triviqa Data sets
:page_facing_up: HierAttModel for Question Answering
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
python和nlp的tirck
Pytorch实现Bidaf基于原文提取的机器阅读理解算法