Comments (3)
I would agree with this.
Next to changing the fields in our Python code, we would also need to change the Gerbil middleware. At the moment this is expecting a certain JSON response, so if we can make it so that it ignores the remainder of the unnecessary fields, we are already there :).
Would be nice if you could work on this @KDercksen !
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If the API is still compatible with Gerbil while returning extra fields in the response, I would just make this the default to be honest. No reason to make this optional when the entity type is available anyway, at least in the case where the default NER from Flair is being used. I suppose a custom NER model might only do mention detection without types, but even in that case we could just return a standard ENTITY
type or something similar.
I could add this if @hasibi / @mickvanhulst agree (and can tell me if extra fields matter for Gerbil)?
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I don't have rights to close the issue myself, but I think this is done :)
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Related Issues (20)
- REL Integration into multi-linker framework
- Error while running example in README HOT 8
- Tweaking ED pipeline HOT 8
- Wrong ED result despite wildly different context and wiki embeddings
- Partial mention matches get higher scores than full ones
- Community documentation
- Memory Leak in REL API HOT 3
- Workflows are not running
- Publishing to pypi HOT 6
- Error when querying API with specific sentence HOT 5
- Error when using prebuilt docker image HOT 6
- Updating the entity DB periodically HOT 2
- AttributeError when using ngram NER HOT 2
- Celebrate first release on pypi HOT 2
- Server architecture HOT 5
- Add 'hello world' example to documentation
- Hard coded paths HOT 2
- 'bert_conv-td' model HOT 4
- Sklearn and Numpy Dependencies when installing REL from source (Option 3) HOT 2
- Linking to knowledge graphs
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