Semantic Geometry of Sentence Embeddings
This paper studies the internal geometry of sentence embeddings, showing how latent semantic features can be identified, composed, and used for more interpretable embedding-based systems.
This paper studies the internal geometry of sentence embeddings, showing how latent semantic features can be identified, composed, and used for more interpretable embedding-based systems.