pang-tingting

pang-tingting

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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

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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

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albert_ner

基于轻量级的albert实现albert+BiLstm+CRF

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aspect-extraction

Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF

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BERT-NER-Keras

Chinese NER task with BERT/roberta/macbert/bert_wwm for keras

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bertNER_legal_pretrained

使用了Pre-trained Chinese ELECTRA,bert+BiLSTM+CRF的法律文书命名实体识别,进行交通肇事案的事件要素抽取

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BiGRU-CRF-with-Attention-for-NER

Named Entity Recognition (NER) with different combinations of BiGRU, Self-Attention and CRF

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bilstm_crf

bilstm_crf 命名实体识别

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Chinese-NER-2

Chinese NER using BiLSTM/BERT + CRF

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ChineseNER-pytorch

基于Pytorch的BERT-IDCNN-BILSTM-CRF中文实体识别实现

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CLUENER2020

A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.

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CO-IN

知识图谱定义及可视化系统&基于可编辑知识图谱的菜肴问答系统:构建一个能通过在线编辑基本图元,以可视化的方式构建知识图谱的系统 平台,并能对构建后的知识图谱进行智能化知识图谱应用,实现知识图谱语义搜索、知识图谱智能问答等。

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education_knowledge_graph_app

Education knowledge graph(graph display, knowledge point tracking, intelligent question and answer,questions knowledge point prediction)。k12教育学科知识图谱,图谱展示,知识点追踪,智能问答以及题目知识点预测。

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entity-recognize

命名实体识别方法,毕设用

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Information-Extraction-Chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

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KGE

Some papers on Knowledge Graph Embedding(KGE)

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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

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Knowledge-Graph

针对企业取证产品,知识图谱的可视化及问答系统。

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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

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ME-CNER

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

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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)。

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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)

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NER-Bert-BiLstm

chinese ner(model: bert+lstm)

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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。

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NER_Keras

using attention_BiLSTM_CRF to NER

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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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nlp_xiaojiang

自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

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sequence_tagging

using bilstm-crf,bert and other methods to do sequence tagging task

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yousan.ai

Awesome resources of yousan.ai(closely related to deep learning).

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