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gck15's Projects

chinesenre icon chinesenre

中文实体关系抽取，pytorch，bilstm+attention

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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

entity_extractor_by_ner icon entity_extractor_by_ner

基于Tensorflow2.3开发的Ner模型，包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF，可微调预训练模型，可对抗学习，用于命名实体识别，配置后可直接运行。

ernie icon ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

kbqa-for-diagnosis icon 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

kg-baseline-pytorch icon kg-baseline-pytorch

2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

macadam icon macadam

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

ner icon ner

BiLSTM+CRF实现中文命名实体识别

ner-loc icon ner-loc

中文命名实体识别& 中文命名实体检测 python实现 基于字+ 词位 分别使用tensorflow IDCNN+CRF 及 BiLSTM+CRF 搭配词性标注实现中文命名实体识别及命名实体检测

qa-civilaviationkg icon qa-civilaviationkg

A QA system based on Civil Aviation knowledge graph. 构建民航业知识图谱，并实现自动问答。

qasystemonmedicalkg icon qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

tensorflow-101 icon tensorflow-101

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

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