394 Open source projects that are alternatives of or similar to cmrc2019

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

No description or website provided.

The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2017)

ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Text2Text: Cross-lingual natural language processing and generation toolkit

KitanaQA: Adversarial training and data augmentation for neural question-answering models

A question answering dataset for machine comprehension of spoken content

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering

Persian (Farsi) Question Answering Dataset (+ Models)

🔮 Answering multiple choice questions with Language Models.

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

吹逼我们是认真的

Conversational Question Answering on Clinical Text

[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

中文wiki百科QA阅读理解问答系统，使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型，还有W2V词向量搜索,使用torchserve部署

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

Cross-Lingual Machine Reading Comprehension (EMNLP 2019)

Augmented version of SQUAD 2.0 for Questions

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Financial Domain Question Answering with pre-trained BERT Language Model

基于知识库的中文问答系统（biLSTM）

Implementation of conversational QA model: FlowQA (with slight improvement)

FAQ-based Question Answering System

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

An alternative EQA paradigm and informative benchmark + models (BMVC 2019, ViGIL 2019 spotlight)

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Automated coding using machine-learning and remapping the U.S. nonprofit sector: A guide and benchmark

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

A collection of some materials of knowledge graph question answering

用tf实现各种文本分类模型，并且封装restful接口，可以直接工程化

Natural Language Processing Question Answering Final Project

The source code of ACL 2018 paper "Denoising Distantly Supervised Open-Domain Question Answering".

Code for the TriviaQA reading comprehension dataset

解读tensorflow版本Bert中modeling.py数据流

Question generation using state-of-the-art Natural Language Processing algorithms

A relation-aware semantic parsing model from English to SQL

【C++ 面试 + C++ 学习指南】 一份涵盖大部分 C++ 程序员所需要掌握的核心知识。

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

📲 Bot to help solve HQ trivia

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Sentence transformers models for SpaCy

This repo is our research summary and playground for MRC. More features are coming.

question answering, reading comprehension toolkit

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain.

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

基于bert4keras的GLUE基准代码

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

Collections of Chinese reading comprehension datasets

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Important paper implementations for Question Answering using PyTorch

This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Entrypoint for all backend cape webservices