comparation of diffrent approaches of sentence embedding
-
Updated
Jun 7, 2018 - Python
comparation of diffrent approaches of sentence embedding
Use tf-kld to vectorize sentences. Use PCA to compress the vector to a reasonable size while maintaining accuracy. Utility functions to use the vector.
Natural Language Inference, SNLI dataset
Add a description, image, and links to the sentence-vec topic page so that developers can more easily learn about it.
To associate your repository with the sentence-vec topic, visit your repo's landing page and select "manage topics."