和 creat_batch_data.py 相同,只是对 content 部分进行句子划分。用于分层模型。 划分句子长度: wd_title_len = 30, wd_sent_len = 30, wd_doc_len = 10.(即content划分为10个句子,每个句子长度为30个词) ch_title_len = 52, ch_sent_len = 52, ch_doc_len = 10. 不划分句子: wd_title_len = 30, wd_content_len = 150. ch_title_len = 52, ch_content_len = 300.
multi-label text-classification tensorflow lstm textcnn hana module for tanslating Chinese(汉字) into pinyin
han pinyin urlPostrender the content of posts with hanzi (漢字標準格式)
hexo han han-css hanziPyTorch re-implementation of some text classificaiton models. Train the following models by editing model_name item in config files (here are some example config files). Click the link of each for details.
nlp text-classification cnn transformer lstm document-classification fasttext hierarchical-attention-networks han textcnn bilstm-attentionHandlebars provides the power necessary to let you build semantic templates effectively with no frustration, that keep the view and the code separated like we all know they should be. You can just download Handlebars.php as is, or with Composer.
han must
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