Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence.
Haim DubossarskyIvan VulicRoi ReichartAnna KorhonenPublished in: CoRR (2020)
Keyphrases
- cross lingual
- embedding space
- euclidean space
- manifold learning
- low dimensional
- dimensionality reduction
- graph embedding
- geometric structure
- high dimensional
- machine translation
- language modeling
- data points
- nonlinear dimensionality reduction
- text classification
- covariance matrix
- information retrieval
- euclidean distance
- news articles
- language model
- principal component analysis
- transfer learning
- geodesic distance
- machine learning
- vector space
- query expansion
- semi supervised
- pairwise
- feature space
- bayesian networks