Comments (4)
Hi - there could be two issues here:
- you're limiting the entity types to PERSON or ORG that you're doing negation on.
- Even if you weren't limiting types, there are no entities in the example that show up using "en_core_web_sm".
You can create and entity ruler . See the example below where football is negated by cannot which is a preceding term in the "en" termset. If you want to change termsets, see this example.
import spacy
from negspacy.negation import Negex
from negspacy.termsets import termset
ts = termset("en")
nlp = spacy.load("en_core_web_sm")
ruler = nlp.add_pipe("entity_ruler")
patterns = [{"label": "SPORT", "pattern": "football"},
{"label": "SPORT", "pattern": [{"LOWER": "ice"}, {"LOWER": "hockey"}]}]
ruler.add_patterns(patterns)
nlp.add_pipe(
"negex",
config={
"neg_termset":ts.get_patterns()
}
)
doc = nlp("Men cannot play football.")
for e in doc.ents:
print(e.text, e._.negex)
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Thanks so much for your help! This makes sense. Apologies for the delay in getting back to you.
Although, if I replace 'football' with 'hockey' in the doc - nothing is returned - am I missing something else?
Huge apologies, I'm very new to this and learning.
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So for the example code I pasted above, it's looking specifically for 'ice hockey' not just 'hockey'. If you changed the patterns to remove 'ice' as shown below then it would work.
{"label": "SPORT", "pattern": [{"LOWER": "hockey"}]}]
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Thanks @jenojp, this is really helpful!
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Related Issues (20)
- Error while processing the example HOT 2
- When I use multiprocessing pool.map, word._.negex throws an error as Can't retrieve unregistered extension attribute 'negex' HOT 3
- When running example it returns "Steve Jobs False" HOT 4
- Example from README is not working HOT 3
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- Compatibility with Scispacy HOT 3
- negspacy docs on spacy universe are out of date HOT 1
- Spacy extension error
- extract patterns out the negated entities HOT 1
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