huggingface / huggingface/neuralcoref

The results are missing a lot of basic co-references ...

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perf / accuracy wontfix
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Description

Hi there,

Running this against many trivial examples and it seems to miss obvious co-references ... here's an example of what I mean:

Input: "My dogs love the beach. They really love going there."

Results: The only co-reference it finds is "They" => "My dogs". But it completely misses that "there" => "the beach".

I'm noticing that the model seems to really have issues with correctly resolving what words like "it", "that", "this", and "there" refer too. Is this something with how the model was trained or is there something I can do to tune it to capture those words as well?

Thanks.

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