Comments (2)
Will be included in next release
from medcat.
I looked into this a little bit. And it seems that part may have been broken for a long time.
The main problem I ran into was not being able to come up with a test case to reach that part of the code. With the limited model available during automated testing, I couldn't find a way to get a Span
that has any entries in doc._.ents
. Thus, in the cases I was able to come up with, this part of the code didn't run.
We may not have had many people use this part of the library (i.e run stuff with show_nested_entities
).
With that said, I've come up with a change that should fix the issue within my testing. PR in a minute.
EDIT: PR #326
from medcat.
Related Issues (20)
- Upgrade spacy dependency HOT 3
- Loosen dependency constraints HOT 1
- How to use CUI filtering
- Version 1.6.1 is not on pypi HOT 1
- new install attempt with SNOMED model throws spacy/thinc config validation error HOT 4
- remove elasticsearch dependency HOT 5
- Modifing the weights of words in the models HOT 3
- i am running NER-L tutorial but while running this cell, model and dataset are not downloading. HOT 1
- Model resources no longer available. HOT 4
- TypeError: Snomed._refset_df2dict() takes 1 positional argument but 2 were given HOT 1
- Concept not found if token order is slightly changed contrary to mentioned note in paper HOT 3
- Install MedCAT with pytorch cpu HOT 2
- Error: [E050] when trying to load sample annotate entity project
- MedCAT model used in validation HOT 3
- Stopwords do not load properly HOT 4
- How do I download the models? HOT 3
- Service unavailable HOT 4
- How to use SNOMED trained model HOT 4
- Writing SNOMED dataframe - cannot access local variable in preprocess_snomed file HOT 4
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