Clustering-Aware Negative Sampling for Unsupervised Sentence Representation.
Jinghao DengFanqi WanTao YangXiaojun QuanRui WangPublished in: ACL (Findings) (2023)
Keyphrases
- unsupervised learning
- clustering algorithm
- information bottleneck
- unsupervised classification
- supervised classification
- k means
- agglomerative clustering
- unsupervised feature selection
- natural language
- sampling methods
- categorical data
- document clustering
- positive and negative
- semantic representation
- unsupervised clustering
- data clustering
- clustering method
- text representation
- unsupervised manner
- completely unsupervised
- syntactic categories
- minimum message length
- natural language sentences
- supervised learning
- natural language processing
- image representation
- self organizing maps
- fuzzy clustering
- hierarchical clustering
- spectral clustering