Spancat: use of embeddings, compatibility with transformers, upstream to relationship extraction

[clinical_nlp]

Thanks, Sofie. Tonsillar enlargement is definitely a span of interest. But do you see any issue with using spancat to label tonsillar as a separate, overlapping span? NER has worked extremely well for capturing e.g. tonsillar enlargement, but we want to be able to add body parts and potentially other labels (and then relate them). I read your original response (Mapping relationships between named entities and unlabeled spans - #2 by SofieVL) as a warning about how splitting up the entities might hinder the model form learning, but wheras NER would require us to split the entities, spancat wouldn't. So for that reason, spancat seems like a better use case to me. Would you push back on that?