machine-comprehension

#自然语言处理#A Tensorflow implementation of QANet for machine reading comprehension

#自然语言处理#😎 A curated list of the Question Answering (QA)

#自然语言处理#Tensorflow Implementation of R-Net

#自然语言处理#multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

翻译 - multi_task_NLP是一个实用工具包，使NLP开发人员可以轻松地为多个任务训练和推断单个模型。

QANet+DuReader中文机器阅读理解

ALBERT model Pretraining and Fine Tuning using TF2.0

#自然语言处理#Mining individual characters in multiparty dialogue

#Awesome#Survey on Machine Reading Comprehension

#自然语言处理#A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

#自然语言处理#An example for applying FusionNet to Natural Language Inference

#自然语言处理#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

#自然语言处理#A question answering dataset for machine comprehension of spoken content

#自然语言处理#R-NET implementation in TensorFlow.

#自然语言处理#Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

#自然语言处理#ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

#自然语言处理#A spoken question answering dataset on SQUAD

#自然语言处理#FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension

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

#自然语言处理#Study for Natural Language Processing & Deep Learning Framework