I've tried running the demo code from the repo readme:
# Load your usual SpaCy model (one of SpaCy English models)
import spacy
nlp = spacy.load('en')
# Add neural coref to SpaCy's pipe
import neuralcoref
neuralcoref.add_to_pipe(nlp)
# You're done. You can now use NeuralCoref as you usually manipulate a SpaCy document annotations.
doc = nlp(u'My sister has a dog. She loves him.')
doc._.has_coref
doc._.coref_clusters
Through commenting out some parts I found that neuralcoref.add_to_pipe(nlp) causes the kernel crash.
Hi GitVex , I have faced the same error and I solved this issue by reverting my spacy version to 2.1.0 .Please try this if you are still searching for a fix .
I've tried running the demo code from the repo readme:
Through commenting out some parts I found that
neuralcoref.add_to_pipe(nlp)
causes the kernel crash.I'm running on a python 3.8 version which only runs on the dependencies given through
pip install neuralcoref
. I downgraded the SpaCy version to2.3.9
as per https://github.com/huggingface/neuralcoref/issues/355#issuecomment-1646816583