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Yes it is if you get ones compatible with torchtext Vocab. The version of torchtext that the project uses is not the latest one, that's the issue I think.
Also note the semantic embedding part of the model is mostly straightforward:
Is it possible to use custom pre-trained word embeddings? The current ones all seem to be in English and I want to load embeddings in other languages.
Relevant section of docs: https://entity-embed.readthedocs.io/en/latest/guide/field_types.html#semantic-fields
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