wzzzd / pretrain_bert_with_maskLMLinks
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。
☆46Updated 2 years ago
Alternatives and similar repositories for pretrain_bert_with_maskLM
Users that are interested in pretrain_bert_with_maskLM are comparing it to the libraries listed below
Sorting:
- NLP句子编码、句子embedding、语义相似度:BERT_avg、BERT_whitening、SBERT、SmiCSE☆177Updated 3 years ago
- ☆279Updated 3 years ago
- 基于词汇信息融合的中文NER模型☆169Updated 3 years ago
- TPlinker for NER 中文/英文命名实体识别☆127Updated 3 years ago
- GPLinker_pytorch☆83Updated 3 years ago
- GlobalPointer的优化版/NER实体识别☆122Updated 3 years ago
- 基于pytorch的百度UIE命名实体识别。☆56Updated 2 years ago
- NLP关系抽取:序列标注、层叠式指针网络、Multi-head Selection、Deep Biaffine Attention☆102Updated 4 years ago
- Knowledge Graph☆175Updated 2 years ago
- CMeEE/CBLUE/NER实体识别☆131Updated 3 years ago
- 基于GlobalPointer的实体/关系/事件抽取☆148Updated 3 years ago
- CoSENT、STS、SentenceBERT☆170Updated 6 months ago
- 全局指针统一处理嵌套与非嵌套NER的Pytorch实现☆398Updated 2 years ago
- 全局指针统一处理嵌套与非嵌套NER☆255Updated 4 years ago
- SimCSE在中文上的复现,有监督+无监督☆278Updated 5 months ago
- experiments of some semantic matching models and comparison of experimental results.☆163Updated 2 years ago
- 基于bert_mrc的中文命名实体识别☆43Updated 3 years ago
- 中文数据集下SimCSE+ESimCSE的实现☆192Updated 3 years ago
- NER任务SOTA模型BERT_MRC☆61Updated last year
- 法研杯2021类案检索赛道三等奖方案☆50Updated 3 years ago
- Tplinker注释,中文数据集适配版本☆60Updated 4 years ago
- 苏神SPACE pytorch版本复现☆42Updated 3 years ago
- 句子匹配模型,包括无监督的SimCSE、ESimCSE、PromptBERT,和有监督的SBERT、CoSENT。☆100Updated 2 years ago
- NEZHA: Neural Contextualized Representation for Chinese Language Understanding☆262Updated 3 years ago
- 2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案☆73Updated 4 years ago
- 基于Pytorch的文本分类框架,支持TextCNN、Bert、Electra等 。☆62Updated 2 years ago
- 论文复现《Named Entity Recognition as Dependency Parsing》☆131Updated 4 years ago
- 使用torch整合两种经典的指针NER抽取范式,分别是SpanBert和苏神的GlobalPointer,简单加了些tricks,配置后一键运行☆134Updated last year
- 中文无监督SimCSE Pytorch实现☆135Updated 4 years ago
- A solution to 2021-CCKS-QA-Task(https://tianchi.aliyun.com/competition/entrance/531904/introduction)☆48Updated 3 years ago