Hello,
When using the demo with the word "Height", the sense "auto" and the year "2019" the results are amazing while running through spacy the results are completly different.
example:
import spacy
nlp_spacy = spacy.load("en_core_web_sm")
s2v = nlp_spacy.add_pipe("sense2vec")
s2v.from_disk("s2v_reddit_2019_lg")
doc = nlp_spacy("Height")
assert doc[:].text == "Height"
freq = doc[:]..s2v_freq
vector = doc[:]..s2v_vec
most_similar = doc[:]._.s2v_most_similar(3)
Why is that? and how can I get the same results as in the demo?
Thanks.