Improving Word Embeddings Using Kernel PCA.
Vishwani GuptaSven GiesselbachStefan RüpingChristian BauckhagePublished in: RepL4NLP@ACL (2019)
Keyphrases
- kernel pca
- dimensionality reduction
- principal component analysis
- kernel methods
- laplacian eigenmaps
- low dimensional
- feature space
- spectral clustering
- manifold learning
- kernel principal component analysis
- input space
- face recognition
- kernel function
- gram matrix
- kernel matrix
- euclidean space
- linear discriminant analysis
- vector space
- independent component analysis
- multi task
- unsupervised learning
- preprocessing
- image segmentation