Commits on Feb 13, 2020

1. Vocab Limited Pretrained Embedding [2/5] …

   Summary: In local bento experiments, often nearest neighbors / items nearby in the embedding space tended to be misspellings of the original word. This isn't really useful for spoken language since there won't be many misspellings, so instead this diff adds a subclass of `PretrainedEmbeddings` that restricts the embedding space to only contain known vocab words. From local experiments, the results here seem much more consistent with what is expected from kNN in the embedding space.
   
   Reviewed By: geof90
   
   Differential Revision: D19818803
   
   fbshipit-source-id: bfac18887990f7a816e30000f8fbbfad37788fd3

   

   Akshat Shrivastava authored and facebook-github-bot committed Feb 13, 2020
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