sentence_similarity:多种句子相似度算法

上传者: 42122306 | 上传时间: 2023-02-07 10:03:40 | 文件大小: 73.23MB | 文件类型: ZIP
句子相似度算法 1. 基于bm25的句子相似度算法 准确率很低 2. 基于hownet的句子相似度算法 在,准确率很低 3. 基于词向量余弦距离的句子相似度算法 基于gensim的n_similarity函数实现、自己实现 4. 基于word2vec+LSTM的句子相似度算法 准确率: 93% 5. mpcnn 别人实现的两个基于论文《Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks》的句子相似度算法

文件下载

资源详情

( 124 个子文件 73.23MB ) sentence_similarity:多种句子相似度算法
.gitignore 1.17KB
embedding.py 3.23KB
images.test.tsv 145.04KB
belief.test.tsv 278.06KB
answers-students.test.tsv 162.25KB
headlines.test.tsv 146.50KB
answers-forums.LICENSE 2.44KB
00-readme.test.txt 877B
answers-forums.test.tsv 342.81KB
plagiarism.test.tsv 198.61KB
answer-answer.test.tsv 144.52KB
headlines.test.tsv 146.43KB
question-question.test.tsv 161.76KB
postediting.test.tsv 774.70KB
2012.MSRpar.test.tsv 164.32KB
2015.belief.test.tsv 278.06KB
2012.SMTnews.test.tsv 59.64KB
2014.deft-forum.test.tsv 42.97KB
2013.OnWN.test.tsv 48.09KB
2014.deft-news.test.tsv 62.25KB
2015.headlines.test.tsv 146.50KB
2014.tweet-news.test.tsv 92.54KB
2014.images.test.tsv 70.34KB
2012.OnWN.test.tsv 70.19KB
2015.answers-forums.test.tsv 342.81KB
2015.images.test.tsv 145.04KB
2012.MSRpar.train.tsv 167.24KB
2015.test.tsv 1.45MB
2015.answers-students.test.tsv 162.25KB
2015.val.tsv 92.54KB
2013.headlines.test.tsv 70.15KB
2014.headlines.test.tsv 72.42KB
2013.FNWN.test.tsv 45.32KB
2012.SMTeuroparl.train.tsv 237.79KB
2014.OnWN.test.tsv 69.21KB
2012.SMTeuroparl.test.tsv 60.82KB
2015.train.tsv 317.19KB
README.md 4.60KB
00-readme.train.txt 5.05KB
SMTeuroparl.test.tsv 60.82KB
SMTnews.test.tsv 59.64KB
MSRpar.train.tsv 167.24KB
MSRpar.test.tsv 164.32KB
OnWN.test.tsv 70.19KB
SMTeuroparl.train.tsv 237.79KB
00-readme.test.txt 2.93KB
OnWN.test.tsv 48.09KB
correct-output.pl 1.43KB
headlines.test.tsv 70.15KB
00-readme.test.txt 8.23KB
FNWN.test.tsv 45.32KB
images.test.tsv 70.34KB
deft-forum.test.tsv 42.97KB
OnWN.test.tsv 69.21KB
headlines.test.tsv 72.42KB
00-readme.test.txt 6.62KB
tweet-news.test.tsv 92.54KB
deft-news.test.tsv 62.25KB
utils.py 972B
README.md 769B
data_helper.py 4.29KB
misc.xml 683B
workspace.xml 23.96KB
MPCNN-sentence-similarity-tensorflow.iml 284B
modules.xml 324B
structure.PNG 125.15KB
loss and acc .PNG 123.90KB
train1.py 7.07KB
model.py 7.02KB
多种准确率曲线.py 1.91KB
val.png 46.95KB
w2v_sgd_b16.h5 2.36MB
embedding_matrix.npy 1.13MB
tokenizer.pkl 52.78KB
__init__.py 77B
w2v_sgd_b16.png 36.58KB
roc_auc.png 28.67KB
train.png 49.12KB
acc_loss_scores.py 33.38KB
gen_how_scores.py 141.09KB
lstm.py 10.84KB
acc_loss_stop_scores.py 16.32KB
dataset.7z.001 50.00MB
dataset.7z.002 1.09MB
sent2vec.py 9.09KB
data_process.py 13.16KB
文件说明.txt 649B
gen_sen2vec.py 6.83KB
__init__.py 77B
accs.png 31.08KB
bm25.py 3.10KB
sig_tan_relu.png 21.56KB
README.md 666B
WHOLE.DAT 78.73KB
semdict.dat 11.14KB
glossary.dat 4.02MB
__init__.py 80B
hownet.py 13.19KB
similarity_hownet.py 1.87KB
gensim_sentence_similarity.py 2.84KB
......
文件过多,未全部展示
[{"title":"( 124 个子文件 73.23MB ) sentence_similarity:多种句子相似度算法","children":[{"title":".gitignore <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"embedding.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"images.test.tsv <span style='color:#111;'> 145.04KB </span>","children":null,"spread":false},{"title":"belief.test.tsv <span style='color:#111;'> 278.06KB </span>","children":null,"spread":false},{"title":"answers-students.test.tsv <span style='color:#111;'> 162.25KB </span>","children":null,"spread":false},{"title":"headlines.test.tsv <span style='color:#111;'> 146.50KB </span>","children":null,"spread":false},{"title":"answers-forums.LICENSE <span style='color:#111;'> 2.44KB </span>","children":null,"spread":false},{"title":"00-readme.test.txt <span style='color:#111;'> 877B </span>","children":null,"spread":false},{"title":"answers-forums.test.tsv <span style='color:#111;'> 342.81KB </span>","children":null,"spread":false},{"title":"plagiarism.test.tsv <span style='color:#111;'> 198.61KB </span>","children":null,"spread":false},{"title":"answer-answer.test.tsv <span style='color:#111;'> 144.52KB </span>","children":null,"spread":false},{"title":"headlines.test.tsv <span style='color:#111;'> 146.43KB </span>","children":null,"spread":false},{"title":"question-question.test.tsv <span style='color:#111;'> 161.76KB </span>","children":null,"spread":false},{"title":"postediting.test.tsv <span style='color:#111;'> 774.70KB </span>","children":null,"spread":false},{"title":"2012.MSRpar.test.tsv <span style='color:#111;'> 164.32KB </span>","children":null,"spread":false},{"title":"2015.belief.test.tsv <span style='color:#111;'> 278.06KB </span>","children":null,"spread":false},{"title":"2012.SMTnews.test.tsv <span style='color:#111;'> 59.64KB </span>","children":null,"spread":false},{"title":"2014.deft-forum.test.tsv <span style='color:#111;'> 42.97KB </span>","children":null,"spread":false},{"title":"2013.OnWN.test.tsv <span style='color:#111;'> 48.09KB </span>","children":null,"spread":false},{"title":"2014.deft-news.test.tsv <span style='color:#111;'> 62.25KB </span>","children":null,"spread":false},{"title":"2015.headlines.test.tsv <span style='color:#111;'> 146.50KB </span>","children":null,"spread":false},{"title":"2014.tweet-news.test.tsv <span style='color:#111;'> 92.54KB </span>","children":null,"spread":false},{"title":"2014.images.test.tsv <span style='color:#111;'> 70.34KB </span>","children":null,"spread":false},{"title":"2012.OnWN.test.tsv <span style='color:#111;'> 70.19KB </span>","children":null,"spread":false},{"title":"2015.answers-forums.test.tsv <span style='color:#111;'> 342.81KB </span>","children":null,"spread":false},{"title":"2015.images.test.tsv <span style='color:#111;'> 145.04KB </span>","children":null,"spread":false},{"title":"2012.MSRpar.train.tsv <span style='color:#111;'> 167.24KB </span>","children":null,"spread":false},{"title":"2015.test.tsv <span style='color:#111;'> 1.45MB </span>","children":null,"spread":false},{"title":"2015.answers-students.test.tsv <span style='color:#111;'> 162.25KB </span>","children":null,"spread":false},{"title":"2015.val.tsv <span style='color:#111;'> 92.54KB </span>","children":null,"spread":false},{"title":"2013.headlines.test.tsv <span style='color:#111;'> 70.15KB </span>","children":null,"spread":false},{"title":"2014.headlines.test.tsv <span style='color:#111;'> 72.42KB </span>","children":null,"spread":false},{"title":"2013.FNWN.test.tsv <span style='color:#111;'> 45.32KB </span>","children":null,"spread":false},{"title":"2012.SMTeuroparl.train.tsv <span style='color:#111;'> 237.79KB </span>","children":null,"spread":false},{"title":"2014.OnWN.test.tsv <span style='color:#111;'> 69.21KB </span>","children":null,"spread":false},{"title":"2012.SMTeuroparl.test.tsv <span style='color:#111;'> 60.82KB </span>","children":null,"spread":false},{"title":"2015.train.tsv <span style='color:#111;'> 317.19KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.60KB </span>","children":null,"spread":false},{"title":"00-readme.train.txt <span style='color:#111;'> 5.05KB </span>","children":null,"spread":false},{"title":"SMTeuroparl.test.tsv <span style='color:#111;'> 60.82KB </span>","children":null,"spread":false},{"title":"SMTnews.test.tsv <span style='color:#111;'> 59.64KB </span>","children":null,"spread":false},{"title":"MSRpar.train.tsv <span style='color:#111;'> 167.24KB </span>","children":null,"spread":false},{"title":"MSRpar.test.tsv <span style='color:#111;'> 164.32KB </span>","children":null,"spread":false},{"title":"OnWN.test.tsv <span style='color:#111;'> 70.19KB </span>","children":null,"spread":false},{"title":"SMTeuroparl.train.tsv <span style='color:#111;'> 237.79KB </span>","children":null,"spread":false},{"title":"00-readme.test.txt <span style='color:#111;'> 2.93KB </span>","children":null,"spread":false},{"title":"OnWN.test.tsv <span style='color:#111;'> 48.09KB </span>","children":null,"spread":false},{"title":"correct-output.pl <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"headlines.test.tsv <span style='color:#111;'> 70.15KB </span>","children":null,"spread":false},{"title":"00-readme.test.txt <span style='color:#111;'> 8.23KB </span>","children":null,"spread":false},{"title":"FNWN.test.tsv <span style='color:#111;'> 45.32KB </span>","children":null,"spread":false},{"title":"images.test.tsv <span style='color:#111;'> 70.34KB </span>","children":null,"spread":false},{"title":"deft-forum.test.tsv <span style='color:#111;'> 42.97KB </span>","children":null,"spread":false},{"title":"OnWN.test.tsv <span style='color:#111;'> 69.21KB </span>","children":null,"spread":false},{"title":"headlines.test.tsv <span style='color:#111;'> 72.42KB </span>","children":null,"spread":false},{"title":"00-readme.test.txt <span style='color:#111;'> 6.62KB </span>","children":null,"spread":false},{"title":"tweet-news.test.tsv <span style='color:#111;'> 92.54KB </span>","children":null,"spread":false},{"title":"deft-news.test.tsv <span style='color:#111;'> 62.25KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 972B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 769B </span>","children":null,"spread":false},{"title":"data_helper.py <span style='color:#111;'> 4.29KB </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 683B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 23.96KB </span>","children":null,"spread":false},{"title":"MPCNN-sentence-similarity-tensorflow.iml <span style='color:#111;'> 284B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 324B </span>","children":null,"spread":false},{"title":"structure.PNG <span style='color:#111;'> 125.15KB </span>","children":null,"spread":false},{"title":"loss and acc .PNG <span style='color:#111;'> 123.90KB </span>","children":null,"spread":false},{"title":"train1.py <span style='color:#111;'> 7.07KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 7.02KB </span>","children":null,"spread":false},{"title":"多种准确率曲线.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"val.png <span style='color:#111;'> 46.95KB </span>","children":null,"spread":false},{"title":"w2v_sgd_b16.h5 <span style='color:#111;'> 2.36MB </span>","children":null,"spread":false},{"title":"embedding_matrix.npy <span style='color:#111;'> 1.13MB </span>","children":null,"spread":false},{"title":"tokenizer.pkl <span style='color:#111;'> 52.78KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 77B </span>","children":null,"spread":false},{"title":"w2v_sgd_b16.png <span style='color:#111;'> 36.58KB </span>","children":null,"spread":false},{"title":"roc_auc.png <span style='color:#111;'> 28.67KB </span>","children":null,"spread":false},{"title":"train.png <span style='color:#111;'> 49.12KB </span>","children":null,"spread":false},{"title":"acc_loss_scores.py <span style='color:#111;'> 33.38KB </span>","children":null,"spread":false},{"title":"gen_how_scores.py <span style='color:#111;'> 141.09KB </span>","children":null,"spread":false},{"title":"lstm.py <span style='color:#111;'> 10.84KB </span>","children":null,"spread":false},{"title":"acc_loss_stop_scores.py <span style='color:#111;'> 16.32KB </span>","children":null,"spread":false},{"title":"dataset.7z.001 <span style='color:#111;'> 50.00MB </span>","children":null,"spread":false},{"title":"dataset.7z.002 <span style='color:#111;'> 1.09MB </span>","children":null,"spread":false},{"title":"sent2vec.py <span style='color:#111;'> 9.09KB </span>","children":null,"spread":false},{"title":"data_process.py <span style='color:#111;'> 13.16KB </span>","children":null,"spread":false},{"title":"文件说明.txt <span style='color:#111;'> 649B </span>","children":null,"spread":false},{"title":"gen_sen2vec.py <span style='color:#111;'> 6.83KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 77B </span>","children":null,"spread":false},{"title":"accs.png <span style='color:#111;'> 31.08KB </span>","children":null,"spread":false},{"title":"bm25.py <span style='color:#111;'> 3.10KB </span>","children":null,"spread":false},{"title":"sig_tan_relu.png <span style='color:#111;'> 21.56KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 666B </span>","children":null,"spread":false},{"title":"WHOLE.DAT <span style='color:#111;'> 78.73KB </span>","children":null,"spread":false},{"title":"semdict.dat <span style='color:#111;'> 11.14KB </span>","children":null,"spread":false},{"title":"glossary.dat <span style='color:#111;'> 4.02MB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"hownet.py <span style='color:#111;'> 13.19KB </span>","children":null,"spread":false},{"title":"similarity_hownet.py <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"gensim_sentence_similarity.py <span style='color:#111;'> 2.84KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
服务器状态检查中...