Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components
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Updated
May 8, 2017 - Python
Pytorch implementation of the RaSoR paper "Learning Recurrent Span Representations for Extractive Question Answering" (Lee et al. 2016) and experiments with various neural components
Bi-Directional Attention Flow for Machine Comprehensions
R-NET implementation in TensorFlow.
My implementation of the FusionNet for machine comprehension
A Tensorflow implementation of QANet for machine reading comprehension
A question answering dataset for machine comprehension of spoken content
Tensorflow Implementation of R-NET
A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
Tensorflow Implementation of R-Net
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
An example for applying FusionNet to Natural Language Inference
A machine comprehension project for my M.S. degree experiment.
This repo contains the code for scrapping the Question and context from google people may ask
Implementation of the machine comprehension model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
Implementation of the Bi-Directional Attention Flow Model (BiDAF) in Python using Keras
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