IP属地：上海
【Sentence-bert】 Sentence-BERT: Sentence Embeddings using Siamese BERT-Ne...
1.Constrained Deep Adaptive Clustering with Cluster Refinement 论文:https:...
1. GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmen...
1. Self-Guided Contrastive Learning for BERT Sentence Representations 论文...
1.Exploiting Cloze Questions for Few Shot Text Classifification and Natu...
错别字类型 1. 字形相似错误。 2. 拼音相似错误 3. 其他: 多字、少字、乱序 纠错难点 1. 需要一定的知识背景: 专有名词、人名等 2...
Pycorrector实现文本纠错 代码: https://github.com/shibing624/pycorrector[https://...
SimCSE: Simple Contrastive Learning of Sentence Embeddings 摘要 论文利用对比学习获得...
【BERT】问题 - 预训练与微调之间的不匹配问题，微调时从未看到[MASK] - 收敛速度慢: 每个batch中只预测了15%的token，导...