搜索所有中文NLP数据集，附常用英文NLP数据集

Multi-Task Deep Neural Networks for Natural Language Understanding

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Utilities, Baselines, Statistics and Descriptions Related to the MSMARCO DATASET

2018百度机器阅读理解技术竞赛

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

This repo collects and re-produces models related to domains of question answering and machine reading comprehension

《机器阅读理解：算法与实践》代码

Survey on Machine Reading Comprehension

Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.

收集了目前为止中文领域的MRC抽取式数据集

中国法研杯-司法人工智能挑战赛

📔 notes for Multi-hop Reading Comprehension and open-domain question answering

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

An Unofficial Pytorch Implementation of Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering

Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)

Baseline code for Korean open domain question answering(ODQA)

The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".

A BERT-Based Machine Reading Comprehension Baseline