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allenai / allennlp

An open-source NLP research library, built on PyTorch.
http://www.allennlp.org
Apache License 2.0
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[Question] How to make extrinsic evaluation for word embeddings #1740

Closed MFajcik closed 6 years ago

MFajcik commented 6 years ago

Assume that I have my own model (in pytorch), that can produce word embeddings (Contextualized, for simplicity, assume that I have function that takes a sentence and returns list of embeddings). How to evaluate my context-specific (Elmo-LIKE) embeddings in available models? Please provide some example, for instance on bidaf model for Question answering.

matt-gardner commented 6 years ago

Currently, the way to do this is to implement a TokenIndexer and a TokenEmbedder. This is how we handle ELMo (indexer and embedder). @nelson-liu has also been working on a Contextualizer abstraction, which might be simpler than doing what we did for ELMo, but that hasn't been merged into the main repo.