gaoxing153's Stars
ljianshu/Blog
关注基础知识,打造优质前端博客,公众号[前端工匠]的作者
thunlp/OpenKE
An Open-Source Package for Knowledge Embedding (KE)
GanjinZero/awesome_Chinese_medical_NLP
中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
abisee/pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
BDBC-KG-NLP/QA-Survey-CN
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答(KBQA),基于文本的问答系统(TextQA),基于表格的问答系统(TableQA)、基于视觉的问答系统(VisualQA)和机器阅读理解(MRC)等,每类任务分别对学术界和工业界进行了相关总结。
WenRichard/KBQA-BERT
基于知识图谱的问答系统,BERT做命名实体识别和句子相似度,分为online和outline模式
liuhuanyong/CrimeKgAssitant
Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.
thunlp/KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
zhihao-chen/QASystemOnMedicalGraph
该项目是基于医疗领域知识图谱的问答系统。实现比较简单。
YeYzheng/KGQA-Based-On-medicine
基于医药知识图谱的智能问答系统
daniellidg/javascript-knowhow
woai3c/Front-end-basic-knowledge
前端知识点、面试题
dapurv5/awesome-question-answering
Resources, datasets, papers on Question Answering
shuaihuaiyi/QA
使用深度学习算法实现的中文问答系统
thunlp/TensorFlow-TransX
An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow
ltadpoles/web-document
前端历程
deepset-ai/COVID-QA
API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
zhangsheng93/cMedQA2
This is updated version of the dataset for Chinese community medical question answering.
chin-gyou/dialogue-utterance-rewriter
yuanninesuns/kbqa
基于知识图谱的中文症状问答系统,前端vue,后端springboot
DEEP-PolyU/KEQA_WSDM19
Knowledge Graph Embedding Based Question Answering
zhangtao-seu/Jay_KG
周杰伦歌曲信息的知识图谱问答系统
zqhead/TransE
reimplement TransE Mode
21han/nlp_qa_project
Natural Language Processing Question Answering Final Project
smilelight/NLP-KG-Projects
自己之前收集的自然语言处理和知识图谱相关的一些开源项目
wjjingtian/cMQA
中文医疗问答数据集
SivilTaram/dialogue-utterance-rewriter-py3
yuanheTian/ChiMed
NPoe/covid-qa
thu-west/Covid19Kg
The knowledge graph for COVID-19 based on “Diagnosis and Treatment of Pneumonia with a New Coronavirus Infection (version 1-7)” of China