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43 public repositories
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A Tensorflow implementation of QANet for machine reading comprehension
Updated
May 30, 2018
Python
Tensorflow Implementation of R-Net
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Aug 8, 2018
Python
😎 A curated list of the Question Answering (QA)
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Oct 21, 2018
Python
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
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Nov 15, 2018
Python
An example for applying FusionNet to Natural Language Inference
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Dec 10, 2018
Python
Code for Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
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Nov 17, 2018
Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Updated
Jun 15, 2020
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A PyTorch implemention of Match-LSTM, R-NET and M-Reader for Machine Reading Comprehension
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Jul 5, 2018
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R-NET implementation in TensorFlow.
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Dec 30, 2017
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Mining individual characters in multiparty dialogue
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Apr 11, 2020
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Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
Updated
May 12, 2020
Python
Survey on Machine Reading Comprehension
A question answering dataset for machine comprehension of spoken content
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Jun 3, 2018
Python
Study for Natural Language Processing & Deep Learning Framework
Updated
Oct 20, 2019
Jupyter Notebook
Machine Comprehension Train on MSMARCO with S-NET Extraction Modification
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Mar 31, 2020
Python
My implementation of the FusionNet for machine comprehension
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Apr 25, 2018
Python
ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
Updated
Oct 21, 2019
Shell
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
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Nov 24, 2019
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
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May 8, 2017
Python
List of papers, datasets and other resources related to Machine Comprehension
A spoken question answering dataset on SQUAD
Updated
Mar 20, 2019
Shell
Updated
Aug 17, 2017
Jupyter Notebook
Machine Comprehension using Squad and Triviqa Data sets
Updated
Dec 11, 2017
Jupyter Notebook
📄 HierAttModel for Question Answering
Bi-Directional Attention Flow for Machine Comprehensions
Updated
Dec 22, 2017
Python
Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"
Updated
Apr 20, 2020
Python
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
Updated
Aug 1, 2018
Python
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It might be nice to, as a final step, show an instance of an actual inference on the model so a reader can "tie it all together". It isn't strictly useful, but for anyone who doesn't know a lot of the terminology it would bring it home.