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hanhongchang's Projects

knowledge_graph_demo

This is a demo for a simple knowledge graph.

lets_ocr

A repository for OCR, which inlcudes some classical OCR algorithms Pytorch implementation such as CTPN, EAST and CRNN.

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.

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

ner

基于tensorflow深度学习的中文的命名实体识别

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nlp_learning

NLP 以及相关的学习实践

opennre

An Open-Source Package for Neural Relation Extraction (NRE) implemented in TensorFlow

python-docx-template

Use a docx as a jinja2 template

relationship-extraction

中文关系抽取

text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

textclassifier

tensorflow implementation

textgrapher

Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。

textinfoexp

自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等

textsim

文本相似性计算

topiccluster

A simple documentary topic analysis implement based on traditional K-means and LDA which can achieve a not-bad result. 基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析等应用，如历时话题建模，评论画像等。

yedda

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

z_knowledge_graph

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