what is the best way to filter sentences finding lemmas ?

[info2000]

I need to filter doc.sents searching by lemmas
There's some native spacy feature to do it?
actually I'm doing as this (pseudocode), but trying to do more efficient
thanks

doc = nlp(documenttext)
lemmadoc=' '.join([token.lemma_ for token in doc])
newdoc = nlp(lemmadoc)
sentencelist=list(newdoc.sents)
lemmawords=[ 'empresa','pyme' ]
filtered_sentences= [x for x in sentencelist if not all(y not in str(x) for y in lemmawords)]

[info2000]

Found the answer, #2521
from token can get the sentence