ttjjlw / EmbedingLinks
训练词向量
☆22Updated 5 years ago
Alternatives and similar repositories for Embeding
Users that are interested in Embeding are comparing it to the libraries listed below
Sorting:
- 利用Bert获取中文字、词向量☆10Updated 4 years ago
- Aspect Based Sentiment Analysis 基于方面的细粒度情感分析☆173Updated 3 years ago
- 利用bert预训练模型生成句向量或词向量☆27Updated 5 years ago
- 一个简单的中文事件抽取模型,触发词和实体联合标注识别,同时判定实体角色。☆75Updated 5 years ago
- ☆60Updated 5 years ago
- BTM实现代码☆101Updated 3 years ago
- Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention☆103Updated 4 years ago
- 使用开源的Bert-as-Service预训练生成文档特征向量,基于k-means对COVID-19文献聚类,t-SNE可视化数据,通过LDA为每个簇生成主题关键词,画Bokeh图实现按簇、关键词搜索和筛选数据。☆19Updated 5 years ago
- code for ACL2020:《FLAT: Chinese NER Using Flat-Lattice Transformer》 我注释&修改&添加了部分源码,使得大家更容易复现这个代码。☆56Updated 5 years ago
- multi-label-classification-4-event-type☆138Updated 2 years ago
- codes for paper A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction☆201Updated 3 years ago
- ☆11Updated 5 years ago
- Use BERT pre-trained model to do sentiment classification☆96Updated 5 years ago
- pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.☆78Updated 6 years ago
- smp ewect code☆79Updated 5 years ago
- NER任务SOTA模型BERT_MRC☆61Updated last year
- bert pytorch模型微调用于的多标签文本分类☆137Updated 6 years ago
- 篇章级事件抽取☆21Updated 5 years ago
- SMP 2020年微博情感分类评测任务 第六名解决方案☆69Updated 3 years ago
- 中文文本预处理,Word2Vec训练计算文本相似度。☆44Updated 6 years ago
- 事件抽取-目前限定火灾新闻☆20Updated 6 years ago
- 一个基础且完整的细粒度情感分析(ABSA,Aspect based sentiment analysis)案例☆85Updated 6 years ago
- 事件知识图谱构建相关的论文, 包含事件抽取、事件关系识别等任务☆83Updated 2 years ago
- multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search☆32Updated 3 years ago
- 多标签文本分类☆53Updated 6 years ago
- ☆42Updated 2 years ago
- 哈工大bert上fine turning ,中文人物关系抽取任务准确率0.97☆118Updated 6 years ago
- Clustering text with Bert☆58Updated 5 years ago
- 基于Transformers的文本分类☆341Updated 4 years ago
- ☆52Updated 6 years ago