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KhalilMrini / LAL-Parser

Neural Adobe-UCSD Parser, the current State of the Art in Constituency and Dependency Parsing.
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Can this model be used inside spaCy? #19

Open emadg opened 3 years ago

emadg commented 3 years ago

Thanks for your nice work. Is this model possible to be plugged into the spaCy NLP pipeline?

Something similar to this Berkley Neural Parser package?

>>> import benepar, spacy
>>> nlp = spacy.load('en_core_web_md')
>>> if spacy.__version__.startswith('2'):
        nlp.add_pipe(benepar.BeneparComponent("benepar_en3"))
    else:
        nlp.add_pipe("benepar", config={"model": "benepar_en3"})
>>> doc = nlp("The time for action is now. It's never too late to do something.")
>>> sent = list(doc.sents)[0]
>>> print(sent._.parse_string)
(S (NP (NP (DT The) (NN time)) (PP (IN for) (NP (NN action)))) (VP (VBZ is) (ADVP (RB now))) (. .))