文件名称：Python-文本匹配的相关模型DSSMESIMABCNNBIMPM等数据集为LCQMC官方数据
文件大小：10.25MB
文件格式：ZIP
更新时间：2022-08-29 23:59:44
Python开发-自然语言处理
文本匹配的相关模型DSSM,ESIM,ABCNN,BIMPM等，数据集为LCQMC官方数据
【文件预览】：
text_matching-master
----README.md(582B)
----data_prepare.py(2KB)
----paircnn_ranking()
--------PairCNN_Ranking.py(7KB)
--------result.txt(458B)
--------train.py(6KB)
--------infer.py(2KB)
--------__pycache__()
----lstm()
--------bi_lstm.py(4KB)
--------train.py(6KB)
--------infer.py(3KB)
--------bi_lstm_attention.py(6KB)
--------__pycache__()
----config.py(351B)
----语义匹配.pdf(1MB)
----save_model()
--------lstm()
--------esim()
--------paircnn()
--------abcnn()
----esim()
--------train.py(6KB)
--------esim_model.py(6KB)
--------infer.py(3KB)
--------__pycache__()
----__pycache__()
--------data_prepare.cpython-35.pyc(3KB)
--------config.cpython-35.pyc(669B)
----dssm()
--------dssm相关说明.txt(968B)
--------dssm_model.py(4KB)
----.idea()
--------workspace.xml(40KB)
--------misc.xml(203B)
--------modules.xml(278B)
--------text_matching.iml(586B)
----data()
--------test.txt(758KB)
--------dev.txt(674KB)
--------train.txt(15.74MB)
----bimpm()
--------match_utils.py(26KB)
--------BiMPM.py(13KB)
--------layer_utils.py(12KB)
----abcnn()
--------train.py(6KB)
--------abcnn_mdoel.py(16KB)
--------infer.py(2KB)
--------abcnn_model_pre.py(12KB)
--------__pycache__()
----papers()
--------Learning deep structured semantic models for web search using clickthrough.pdf(435KB)
--------Bilateral Multi-Perspective Matching for Natural Language Sentences.pdf(359KB)
--------Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks.pdf(654KB)
--------Enhanced LSTM for Natural Language Inference.pdf(985KB)
--------MultiwayAttentionNetworksforModelingSentencePairs.pdf(199KB)
--------Attention-Based Convolutional Neural Network for Modeling Sentence Pairs.pdf(572KB)