automate relationships between entities

[flamit]

Hello

Is there a way to automate the linking between the different tagged labels without having to manually do the whole thing ?

thank you...

[ryanwesslen]

hi @flamit!

@flamit

Is there a way to automate the linking between the different tagged labels without having to manually do the whole thing ?

If you have an existing relations model, you can add relations to your stream so you are correcting the labels:

def add_relations_to_stream(stream):
   custom_model = load_your_custom_model()
   for eg in stream:
      deps, heads = custom_model(eg["text"])
      eg["relations"] = []
      for i, (label, head) in enumerate(zip(deps, heads)):
         eg["relations"].append({"child": i, "head": head, "label": label})
      yield eg

Or you can try DependencyMatcher as rules instead of the custom model:

Rule base or pattern approach for entity relations

hi @yllwpr! Per the docs, rel.manual only accepts span patterns: "Path to patterns file defining spans to be added and merged." However, an alternative comes from the Prodigy Relations docs on using a custom model (or DependencyMatcher) to pre-highlight: You don’t need to use spaCy to let a model highlight suggestions for you. Under the hood, the concept is pretty straightforward: if you stream in examples with pre-defined "tokens" , "relations" and optional "spans" , Prodigy will accept and…

I would recommend manually labeling a small part of the data, build a simple model, then add those relations to the stream, correcting the model and iterating. In this approach, you'll still need to manually annotate some examples, but many will include a model-in-the-loop to speed up the annotation time.

Hope this helps!