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pang-tingting's Projects

keras_bert_ner-1 icon keras_bert_ner-1

基于keras和keras_bert的中文命名实体识别,搭建的网络为bert+bilstm_crf

kgc icon kgc

ConMask model described in paper Open-world Knowledge Graph Completion. Main Repo: https://github.com/bxshi/ConMask

kge icon kge

Some papers on Knowledge Graph Embedding(KGE)

kgqa icon kgqa

高级软件工程作业--基于知识图谱的豆瓣书籍推荐问答系统

kgqa-1 icon kgqa-1

基于知识图谱的问答系统设计与实现,附带一个可视化的demo

knowledge-graph icon knowledge-graph

针对企业取证产品,知识图谱的可视化及问答系统。

knowledge_grapy-kbqa_demo icon knowledge_grapy-kbqa_demo

将bert模型应用到问答系统中来,一者学习知识图谱的基本操作,二简单搭建问答系统的基本框架,三将词向量、bert模型实践应用

latticelstm icon latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

lm_ner icon lm_ner

基于Pytorch的命名实体识别框架,支持LSTM+CRF、Bert+CRF、RoBerta+CRF等框架

me-cner icon me-cner

Code for CIKM 2019 paper "Exploiting Multiple Embeddings for Chinese Named Entity Recognition".

medical_knowledge_graph_app-master icon medical_knowledge_graph_app-master

医药知识图谱自动问答系统实现,包括构建知识图谱、基于知识图谱的流水线问答以及前端实现。实体识别(基于词典+BERT_CRF)、实体链接(Sentence-BERT做匹配)、意图识别(基于提问词+领域词词典)。

movie_knowledge_graph_app icon movie_knowledge_graph_app

电影知识图谱,主要包括实体识别、实体查询、关系查询以及智能问答等。movie knowledge graph(Entity identification, graph display, and intelligent question and answer)

named_entity_recognition icon named_entity_recognition

国科大研一张家俊老师文本数据挖掘课程大作业,使用HMM,CRF,LSTM,LSTM+CRF实现命名实体识别

ner icon ner

BiLSTM+CRF实现中文命名实体识别

ner-1 icon ner-1

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

ner-funtool icon ner-funtool

本NER项目包含多个中文数据集,模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等,最后用TFServing进行模型部署,线上推理和线下推理。

ner-pytorch icon ner-pytorch

记录自己用的BILSTM-CRF、ELMo、BERT等来做NER任务的代码。

ner-three icon ner-three

该项目是常用的命名实体识别,包括seqlabel-crf,bilstm-crf,bert-bilstm-crf

nerpapers icon nerpapers

Worth-reading papers and related resources on Named Entity Recognition (NER). 值得一读的命名实体识别论文与相关资源集合

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