53bffb88d3b4809f7c4319344f5ee4d185701f23,examples/most_common_word_sense/feature_extraction.py,,,#,23

Before Change

from numpy.linalg import norm

nltk.download("averaged_perceptron_tagger")
nltk.download("punkt")

// -------------------------------------------------------------------------------------//

After Change

                        "without downloading averaged_perceptron_tagger")
    nltk.download("averaged_perceptron_tagger")

try:
    nltk.data.find("tokenizers/punkt")
except LookupError:
    if license_prompt("Punkt model", "http://www.nltk.org/nltk_data/") is False:
        raise Exception("can"t continue data prepare process "
                        "without downloading punkt")
    nltk.download("punkt")

// -------------------------------------------------------------------------------------//


def extract_features_envelope(target_word, definition, hyps_vec, model_w2v):
    
    extract features

Instances