gaoxing153

gaoxing153's Stars

• YeYzheng/KGQA-Based-On-medicine

  基于医药知识图谱的智能问答系统

  Language:JavaScript1.1k278

• zhangsheng93/cMedQA2

  This is updated version of the dataset for Chinese community medical question answering.

  30662

• wjjingtian/cMQA

  中文医疗问答数据集

  393

• shuaihuaiyi/QA

  使用深度学习算法实现的中文问答系统

  Language:Python549229

• abisee/pointer-generator

  Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

  Language:Python2.2k813

• SivilTaram/dialogue-utterance-rewriter-py3

  Language:Python182

• chin-gyou/dialogue-utterance-rewriter

  Language:Python21648

• DEEP-PolyU/KEQA_WSDM19

  Knowledge Graph Embedding Based Question Answering

  Language:Python15651

• 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

  Language:Python1.4k349

• 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。

  Language:Python1.2k332

• 21han/nlp_qa_project

  Natural Language Processing Question Answering Final Project

  Language:HTML5927

• daniellidg/javascript-knowhow

  943218

• woai3c/Front-end-basic-knowledge

  前端知识点、面试题

  791181

• 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.

  Language:Python1.4k381

• ltadpoles/web-document

  前端历程

  Language:CSS457151

• yuanheTian/ChiMed

  172

• thunlp/KB2E

  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

  Language:C++1.4k451

• deepset-ai/COVID-QA

  API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

  Language:Jupyter Notebook343119

• NPoe/covid-qa

  Language:Python6

• thunlp/TensorFlow-TransX

  An implementation of TransE and its extended models for Knowledge Representation Learning on TensorFlow

  Language:Python514196

• zqhead/TransE

  reimplement TransE Mode

  Language:Python12832

• 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。

  1.7k261

• yuanninesuns/kbqa

  基于知识图谱的中文症状问答系统，前端vue，后端springboot

  Language:JavaScript18750

• dapurv5/awesome-question-answering

  Resources, datasets, papers on Question Answering

  669194

• 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

  4311

• thunlp/OpenKE

  An Open-Source Package for Knowledge Embedding (KE)

  Language:Python3.8k985

• 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

  Language:JavaScript7.9k1.2k

• zhangtao-seu/Jay_KG

  周杰伦歌曲信息的知识图谱问答系统

  Language:Python13534

• 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

  6

• 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

  2.1k357