tNet_subjVec
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2021-02-26
09:47:48
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tNet_subjVec-main.zip （75个子文件） 
tNet_subjVec-main 
twitter_pos_neu.txt 7KB twitter_positive_neutral_text.txt 7KB
infer_example_bert_models.py 6KB twitter_pos_pos.txt 9KB layers dynamic_rnn.py 4KB __init__.py 130B squeeze_embedding.py 1KB point_wise_feed_forward.py 841B sample 1B attention.py 4KB train.py 15KB twitter_positive_text.txt 18KB infer_data_content.py 32KB data_utils.py 9KB twitter_train_aspect.txt 74KB models tnet_lf.py 3KB _pycache_ lcf_bert.cpython-36.pyc 4KB memnet.cpython-36.pyc 2KB cabasc.cpython-36.pyc 4KB aen.cpython-36.pyc 4KB ian.cpython-36.pyc 2KB tc_lstm.cpython-36.pyc 2KB td_lstm.cpython-36.pyc 1KB atae_lstm.cpython-36.pyc 2KB lstm.cpython-36.pyc 1KB tnet_lf.cpython-36.pyc 3KB mgan.cpython-36.pyc 4KB bert_spc.cpython-36.pyc 918B __init__.cpython-36.pyc 663B ram.cpython-36.pyc 3KB aoa.cpython-36.pyc 2KB lstm.py 839B bert_spc.py 700B ram.py 3KB __init__.py 518B lcf_bert.py 5KB aoa.py 2KB memnet.py 2KB atae_lstm.py 2KB ian.py 2KB mgan.py 5KB aen.py 5KB cabasc.py 6KB td_lstm.py 1KB tc_lstm.py 2KB 300_restaurant_embedding_matrix.dat 10.49MB twitter_neu_pos.txt 3KB twitter_train1.txt 626KB twitter_test_attention.txt 96KB datasets 50D30K_3000small_size.txt 20.01MB Twitter test.txt 71KB train.txt 638KB raw_data test.txt 75KB train.txt 671KB readme.txt 1KB semeval14 Restaurants_Train.xml.seg 378KB Laptops_Train.xml.seg 265KB Laptops_Test_Gold.xml.seg 60KB Restaurants_Test_Gold.xml.seg 113KB 50D30K_300small_size.txt 2MB acl-14-short-data train.raw 653KB test.raw 73KB readme.txt 1KB subjective_vector.py 15KB twitter_test1.txt 70KB twitter_test_aspect.txt 8KB small_size_data.py 3KB train_k_fold_cross_val.py 14KB twitter_pos_neg.txt 2KB nearest_neighbor_survey.py 11KB twitter_train.txt 622KB 300_laptop_embedding_matrix.dat 8.24MB infer_example.py 3KB twitter_test.txt 69KB twitter_tokenizer.dat 367KB
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