Amling2017

Amling2017's Stars

• facebookresearch/DrQA

  Reading Wikipedia to Answer Open-Domain Questions

  Language:Python4.5k156252894

• wangle1218/KBQA-for-Diagnosis

  Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

  Language:Python1.4k1444389

• yao8839836/text_gcn

  Graph Convolutional Networks for Text Classification. AAAI 2019

  Language:Python1.4k24141438

• baidu/DDParser

  百度开源的依存句法分析系统

  Language:Python9852373162

• IndexFziQ/GNN4NLP-Papers

  A list of recent papers about Graph Neural Network methods applied in NLP areas.

  906351138

• danqi/acl2020-openqa-tutorial

  ACL2020 Tutorial: Open-Domain Question Answering

  83431285

• hikopensource/DAVAR-Lab-OCR

  OCR toolbox from Davar-Lab

  Language:Python74728165157

• jwzhanggy/Graph-Bert

  Source code of Graph-Bert

  Language:Python48992686

• Lin-Yijie/Graph-Matching-Networks

  PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

  Language:Python30421159

• beacandler/EATEN

  EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

  175121217

• EpistasisLab/ClinicalDataSources

  Open or Easy Access Clinical Data Sources for Biomedical Research

  17116135

• panushri25/emrQA

  Code for the emrQA question answering dataset

  Language:Python1466035

• RowitZou/LGN

  EMNLP-2019 paper: A Lexicon-based Graph Neural Network for Chinese NER.

  Language:Python13831625

• xtea/chinese_medical_words

  手工整理医疗行业词汇、术语等语料。可用于语音识别、对话系统等各类nlp模型训练。

  1152039

• trueto/medbert

  本项目开源硕士毕业论文“BERT模型在中文临床自然语言处理中的 应用探索与研究”相关模型

  Language:Python1092712

• BordiaS/layoutlm

  Language:Python925424

• kuoluo1995/text-classification

  CNN,RNN ,Activation functions, Graph Convolutional Networks(GCN) for Text Classification

  Language:Python33423

• sunlab-osu/CliniQG4QA

  CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

  Language:Python22524

• geetickachauhan/relation-extraction

  Relation Extraction with Semeval 2010 data, i2b2 2010 VA challenge classification data and DDI extraction data.

  Language:Jupyter Notebook195112

• yuanheTian/ChiMed

  18402

• zhangcong-zc/Text_Matching

  Text Matching Based on LCQMC: A Large-scale Chinese Question Matching Corpus

  Language:Python15223

• RidongHan/JLU_NLP_DataSets

  10100

• neukg/ConCasRTE

  Language:Python8102

• trueto/CCLUE

  A benchmark for Chinese ClinicalLanguage Understanding Evalution（CCLUE）

  Language:Python8200

• helboukkouri/acl_srw_2019

  This is the code for reproducing the experiments from "Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition" (El Boukkouri et al.)

  Language:Python7202

• emrQA/emrKBQA

  BioNLP 2021

  3

• miaofu/healthcareQA

  爬取寻医问药网的问答的python代码

  Language:Python3101

• chenxichen95/GP-epilepsy_qa_system

  Language:Python2000

• chenxichen95/MCFN

  Language:Python1110

• chenxichen95/myModuals

  Language:Python1000