Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings.
Andreas HanselowskiIryna GurevychPublished in: CoRR (2019)
Keyphrases
- vector space
- concept space
- retrieval model
- low dimensional
- log euclidean
- feature vectors
- riemannian manifolds
- distance measure
- euclidean space
- similarity search
- vector space model
- dimensionality reduction
- latent semantic indexing
- computer vision
- latent semantic
- query expansion
- image processing
- riemannian metric
- neural network