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I've noticed that the online model produces different results than the downloaded spaCy model. In particular, the sentence "who is Florence Ng at Value Partners" gets parsed correctly in the online demo: https://explosion.ai/demos/displacy-ent?text=who%20is%20Florence%20Ng%20at%20Value%20Partners&model=en_core_web_md&ents=person%2Corg%2Cgpe%2Cloc%2Cproduct%2Cnorp%2Cdate%2Cper%2Cmisc
but not in the locally downloaded "en-core-web-md" model, where all of "Florence Ng at Value Partners" gets classified as an ORG.
import spacy nlp = spacy.load("en_core_web_md") doc = nlp("who is Florence Ng at Value Partners") doc.ents Output: (Florence Ng at Value Partners,)
What could be the reason for the discrepancy? Is the online demo actually using a different model?
The text was updated successfully, but these errors were encountered:
Thanks, I'd linked the wrong model to en_core_web_md on the demo. It should be resolved now. I've also made en_core_web_lg available there too.
en_core_web_md
en_core_web_lg
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How to reproduce the behaviour
I've noticed that the online model produces different results than the downloaded spaCy model. In particular, the sentence "who is Florence Ng at Value Partners" gets parsed correctly in the online demo:
https://explosion.ai/demos/displacy-ent?text=who%20is%20Florence%20Ng%20at%20Value%20Partners&model=en_core_web_md&ents=person%2Corg%2Cgpe%2Cloc%2Cproduct%2Cnorp%2Cdate%2Cper%2Cmisc
but not in the locally downloaded "en-core-web-md" model, where all of "Florence Ng at Value Partners" gets classified as an ORG.
What could be the reason for the discrepancy? Is the online demo actually using a different model?
Your Environment
The text was updated successfully, but these errors were encountered: