How to use the nlu.nlp.StanfordCoreNLP function in nlu
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SilvioMessi / nlu / nlu / benchmark.py View on Github 
def __init__(self):
nlp = StanfordCoreNLP()
words_similarity = PathMeasureWordsSimilarity()
self.seeker = Seeker(words_similarity, nlp)
self.sentences_similarity = SentencesSimilarity(words_similarity, nlp)
self.test_folder_path = os.path.dirname(os.path.abspath(__file__)) + '/test'def __init__(self):
nlp = StanfordCoreNLP()
words_similarity = PathMeasureWordsSimilarity()
self.sentences_similarity = SentencesSimilarity(words_similarity, nlp)def __init__(self):
nlp = StanfordCoreNLP()
words_similarity = PathMeasureWordsSimilarity()
self.seeker = Seeker(words_similarity, nlp)nlu
John Snow Labs NLU provides state of the art algorithms for NLP&NLU with 20000+ of pretrained models in 200+ languages. It enables swift and simple development and research with its powerful Pythonic and Keras inspired API. It is powerd by John Snow Labs powerful Spark NLP library.
Package Health Score
75 / 100Popular nlu functions
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