sense2vec
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different results on the demo than through the spacy script
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.