knowledge-based-qa-for-diagnosis

Knowledge Graph,Question Answering System. 基于知识图谱的医疗诊断问答系统

https://github.com/nlp-guild/knowledge-based-qa-for-diagnosis

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary

Keywords

knowledge-graph question-answering
Last synced: 6 months ago · JSON representation ·

Repository

Knowledge Graph,Question Answering System. 基于知识图谱的医疗诊断问答系统

Basic Info
  • Host: GitHub
  • Owner: NLP-Guild
  • License: apache-2.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 116 KB
Statistics
  • Stars: 7
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
knowledge-graph question-answering
Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

Knowledge-based-QA-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

[doc]

1 Model Structure

2 Reproduction & Workflow

Full reproduction (build from scratch):

  1. build knowledge graph [colab]
  2. build NER dataset [colab]
  3. train NER model [train] [inference] [model on Huggingface]
  4. train intent-recognition model [train] [inference] [model on Huggingface]
  5. entity-linking logic [colab]

Minimal reproduciton (direct usage)

[example]

3 Reference

  1. https://github.com/wangle1218/KBQA-for-Diagnosis

4 Demo

link

5 Citation

If you use this software in your work, please cite it using the following metadata.

@software{Xiang_Knowledge-based-QA-for-Diagnosis, author = {Xiang, Tao}, title = {{Knowledge-based-QA-for-Diagnosis}} }

Owner

  • Name: NLP-Guild
  • Login: NLP-Guild
  • Kind: organization
  • Location: Germany

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Knowledge-based-QA-for-Diagnosis
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Tao
    family-names: Xiang
    email: xiang.tao@outlook.de
    affiliation: NLP-Guild

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