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- seq2seq
- GAN
# ClassificationText
- bert+bi-lstm(keras) approach 0.78~0.79% acc of Weizhong Bank Intelligent Customer Service Question Matching Competition
# FeatureProject
- bert句向量、文本相似度
- bert/extract_keras_bert_feature.py:提取bert句向量特征
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- w2v_model_wiki_char.vec、w2v_model_wiki_word.vec都只有部分
- corpus
github项目中只是上传部分数据需要的前往链接: https://pan.baidu.com/s/1I3vydhmFEQ9nuPG2fDou8Q 提取码: rket
- webank(train、dev、test)
- 小黄鸡和gossip问答预料数据没清洗,chicken_and_gossip.txt
- 微众银行和支付宝文本相似度竞赛数据, sim_webank.csv
- sentence_vec_encode_char