test 5
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.gitignore
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word2vec_100_3_polish.bin
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fasttext_100_3_polish.bin
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word2vec_100_3_polish.bin.syn0.npy
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fasttext_100_3_polish.bin.trainables.syn1neg.npy
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word2vec_300_3_polish.bin
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fasttext_100_3_polish.bin.trainables.vectors_ngrams_lockf.npy
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word2vec_300_3_polish.bin.trainables.syn1neg.npy
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fasttext_100_3_polish.bin.trainables.vectors_vocab_lockf.npy
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word2vec_300_3_polish.bin.wv.vectors.npy
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fasttext_100_3_polish.bin.wv.vectors_ngrams.npy
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fasttext_100_3_polish.bin.wv.vectors_vocab.npy
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fasttext_100_3_polish.bin.wv.vectors.npy
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dev-0/out.tsv
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dev-0/out.tsv
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run.py
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run.py
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train_dataset, dev_0_dataset, test_A_dataset = read_data()
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train_dataset, dev_0_dataset, test_A_dataset = read_data()
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# Word2Vec parameters
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# Word2Vec parameters
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vector_size = 300
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vector_size = 100
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# Training the Word2Vec model
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# Training the Word2Vec model
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word2vec = KeyedVectors.load("word2vec_300_3_polish.bin")
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word2vec = KeyedVectors.load("fasttext_100_3_polish.bin")
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# Convert text to vectors
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# Convert text to vectors
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train_vectors = np.array(
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train_vectors = np.array(
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test-A/out.tsv
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test-A/out.tsv
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