Looking to identify the subject in a sentence, I attempted to utilize some code resources from this link:
import spacy
nlp = nlp = spacy.load("en_core_web_sm")
sent = "the python can be used to find objects."
#sent = "The bears in the forest, which has tall trees, are very scary"
doc=nlp(sent)
sentence = next(doc.sents)
for word in sentence:
print(word,word.dep_)
The output of this code snippet is as follows:
- the det
- python nsubjpass
- can aux
- be auxpass
- used ROOT
- to aux
- find xcomp
- objects dobj
In most cases, one would expect "the python" to be the subject with the dependency tag nsubj, but it appears as nsubjpass. Are there any other possible dependencies besides nsubj and nsubjpass for identifying subjects?
Is there a more reliable method to pinpoint the subject in a sentence?