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HouXudong's Projects

awesome-cheatsheets icon awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

brat icon brat

brat rapid annotation tool (brat) - for all your textual annotation needs

cw2vec icon cw2vec

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

entity-relation-extraction icon entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

lm-lstm-crf icon lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

medicalnamedentityrecognition icon medicalnamedentityrecognition

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

nlc-icd10-classifier icon nlc-icd10-classifier

A simple web app that shows how Watson's Natural Language Classifier (NLC) can classify ICD-10 code. The app is written in Python using the Flask framework and leverages the Watson Developer Cloud Python SDK

thymedata icon thymedata

This is a repository for annotation data for the THYME Project, a clinical natural language processing project dedicated to extracting useful temporal relations from the clinical narrative.

uwsgi-nginx-flask-docker icon uwsgi-nginx-flask-docker

Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.

yedda icon yedda

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

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