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View Code? Open in Web Editor NEWImplementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015
License: Apache License 2.0
Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015
License: Apache License 2.0
thanks for your sharing I would like to load your pre-trained model like word2vec such as this example
https://github.com/TharinduDR/Simple-Sentence-Similarity/blob/master/Sentence%20Similarity%20-%20Context%20Vectors%20-%20FLAIR.ipynbso I did the following :
I downloaded antonym_model.tar.gz
extracted antonym_model.tar.gz to get 2 files we-td.model and 100000.wc.bin
from gensim.models import Word2Vec
wv_antonym_bin=Word2Vec.load("model/100000.wc.bin")
or
from gensim.models import KeyedVectorsfrom gensim.test.utils import datapathwv_antonym_bin = KeyedVectors.load_word2vec_format(datapath("model/we-td.model"), binary=True)
but i get error related to these files not paths
Could you help me ?
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