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dnimo/README.md

KuoCh'ing Chang (GUOQING ZHANG)

Basic info

Live in Kyoto, Japan

Skills

  • JLPT: N2, TOEFL: 79

  • C++, Python, Java, TensorFlow, Pytorch, MapReduce

Education

Work Experience

Whale Cloud Technology 2021.7-2021.9

  • System operation and maintenance.

Microsoft Student Ambassador 2020.10-2022.6

  • In 2020, I joined the Microsoft Student Ambassador community through the interview of Microsoft Student Ambassador Asia leader in China. After entering the community, I actively participated in the online conferences held by Microsoft and contacted developers all over the world. At present, I continue to study in the health care team, also the field I want to be engaged in the post-graduate stage.

Project

ZhongYi-NER

Pytorch NLP NER

GitHub Address：https://github.com/dnimo/ZhongYi-NER2

A pointer Network named entity labeling model for Ancient Chinese Medicine books based on Bert Encoder.

Bert-information-Extraction

Keras Inforantion Extracting

GitHub Address: https://github.com/dnimo/Bert-information-Extraction

Participate in the 2021 service outsourcing competition, extract the multiple relationships in the financial data text.

husky

Python Medical Informatics

Github Address: https://github.com/dnimo/husky

This project is release by KuoCh'ing Chang. We shooting this project to solve medical text processing.

Competition/Award Selected

Pinned Loading

  1. husky husky Public

    This project is release by KuoCh'ing Chang. We shooting this project to solve medical text processing.

    Python

  2. ZhongYi-NER2 ZhongYi-NER2 Public

    通过收集数据去训练下游的中医文本NER标注模型，在上游使用了Bert作为特征提取器，减少了下游模型的数据需求。

    Python 4

  3. Bert-information-Extraction Bert-information-Extraction Public

    2021服务外包大赛参赛，抽取金融数据文本中的多元关系

    Python 3 1

  4. DGCNN-information-Extraction DGCNN-information-Extraction Public

    基于苏剑林项目的复用，应用于金融事件关系抽取

    Python 7 2

  5. NR-Kyoto/pois-2nd-project NR-Kyoto/pois-2nd-project Public

    HTML

  6. minamotooRin/KU-WIKI minamotooRin/KU-WIKI Public

    KU-WIKI

    HTML