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.

QANet+DuReader中文机器阅读理解

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

FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension

Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"

Study for Natural Language Processing & Deep Learning Framework