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中文命名实体识别:BERT-BiLSTM-CRF模型实现中文,数据集使用CLUENER2020
Open source annotation tool for machine learning practitioners.
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer,Bert,ERNIE),开箱即用!
Google AI 2018 BERT pytorch implementation
An Open-Source Package for Knowledge Embedding (KE)
Personal reproduction codes for the NIPS 2013 paper "Translating embeddings for modeling multi-relational data"
KGE-BERT--Inspire BERT with Knowledge Graph Embedding for Question Answering
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)。
自然语言处理的基础知识,术语抽取与关键词提取、知识图谱与图嵌入、检索与推荐等
Chinese Word2vec Medicine,中文医学词向量
基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
使用Bert,ERNIE,进行中文文本分类
Code for paper Fine-tune BERT for Extractive Summarization
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)