deep_srl:用于以下方面的代码和经过预训练的模型:深度语义角色标记:可行的方法和下一步

上传者: 42102933 | 上传时间: 2023-02-22 10:44:24 | 文件大小: 54KB | 文件类型: ZIP
深度语义角色标签 该存储库包含用于训练和使用Deep SRL模型的代码,该代码在以下内容中进行了描述: 如果您使用我们的代码,请按以下方式引用我们的论文: @inproceedings {he2017deep, title = {深层语义角色标签:什么起作用,下一步是什么}, 作者= {他,鲁恒和李,肯顿和刘易斯,迈克和Zettlemoyer,卢克}, booktitle = {计算语言学协会年会论文集}, 年= {2017} } 入门 先决条件: python应该使用Python2。您可以使用virtualenv进行模拟。 点安装numpy pip install theano ==

文件下载

资源详情

[{"title":"( 58 个子文件 54KB ) deep_srl:用于以下方面的代码和经过预训练的模型:深度语义角色标记:可行的方法和下一步","children":[{"title":"deep_srl-master","children":[{"title":"preprocess","children":[{"title":"jackknifing","children":[{"title":"jackknife_conll2012.py <span style='color:#111;'> 5.55KB </span>","children":null,"spread":false},{"title":"jackknife.py <span style='color:#111;'> 4.64KB </span>","children":null,"spread":false},{"title":"split_conll2012.py <span style='color:#111;'> 580B </span>","children":null,"spread":false}],"spread":true},{"title":"process_conll05.py <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"process_conll2012.py <span style='color:#111;'> 4.11KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitattributes <span style='color:#111;'> 428B </span>","children":null,"spread":false},{"title":"sample_data","children":[{"title":"sentences_with_gold.txt <span style='color:#111;'> 381B </span>","children":null,"spread":false},{"title":"sentences_without_predicates.txt <span style='color:#111;'> 190B </span>","children":null,"spread":false},{"title":"sentences_with_predicates.txt <span style='color:#111;'> 190B </span>","children":null,"spread":false}],"spread":true},{"title":"scripts","children":[{"title":"run_end2end.sh <span style='color:#111;'> 799B </span>","children":null,"spread":false},{"title":"compile-proto.sh <span style='color:#111;'> 243B </span>","children":null,"spread":false},{"title":"run_predict.sh <span style='color:#111;'> 713B </span>","children":null,"spread":false},{"title":"run_train_propid.sh <span style='color:#111;'> 488B </span>","children":null,"spread":false},{"title":"fetch_and_make_conll05_data.sh <span style='color:#111;'> 2.90KB </span>","children":null,"spread":false},{"title":"run_predict_conll05.sh <span style='color:#111;'> 713B </span>","children":null,"spread":false},{"title":"run_predict_conll2012.sh <span style='color:#111;'> 718B </span>","children":null,"spread":false},{"title":"fetch_required_data.sh <span style='color:#111;'> 452B </span>","children":null,"spread":false},{"title":"make_conll2012_data.sh <span style='color:#111;'> 932B </span>","children":null,"spread":false},{"title":"run_train.sh <span style='color:#111;'> 518B </span>","children":null,"spread":false},{"title":"run_end2end_conll2012.sh <span style='color:#111;'> 921B </span>","children":null,"spread":false},{"title":"run_eval.sh <span style='color:#111;'> 213B </span>","children":null,"spread":false},{"title":"run_end2end_conll05.sh <span style='color:#111;'> 903B </span>","children":null,"spread":false}],"spread":false},{"title":"config","children":[{"title":"srl_config.json <span style='color:#111;'> 465B </span>","children":null,"spread":false},{"title":"srl_small_config.json <span style='color:#111;'> 465B </span>","children":null,"spread":false},{"title":"propid_config.json <span style='color:#111;'> 481B </span>","children":null,"spread":false}],"spread":true},{"title":"LICENSE <span style='color:#111;'> 11.05KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 6.28KB </span>","children":null,"spread":false},{"title":"resources","children":[{"title":"conll2012_model.tar.gz <span style='color:#111;'> 133B </span>","children":null,"spread":false},{"title":"conll2012_propid_model.tar.gz <span style='color:#111;'> 133B </span>","children":null,"spread":false},{"title":"conll05_ensemble.tar.gz <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"conll05_propid_model.tar.gz <span style='color:#111;'> 133B </span>","children":null,"spread":false},{"title":"conll2012_ensemble.tar.gz <span style='color:#111;'> 134B </span>","children":null,"spread":false},{"title":"conll05_model.tar.gz <span style='color:#111;'> 133B </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"python","children":[{"title":"train.py <span style='color:#111;'> 6.50KB </span>","children":null,"spread":false},{"title":"interactive.py <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 8.75KB </span>","children":null,"spread":false},{"title":"neural_srl","children":[{"title":"shared","children":[{"title":"inference.py <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"tensor_pb2.py <span style='color:#111;'> 8.76KB </span>","children":null,"spread":false},{"title":"conll_utils.py <span style='color:#111;'> 2.78KB </span>","children":null,"spread":false},{"title":"evaluation.py <span style='color:#111;'> 5.26KB </span>","children":null,"spread":false},{"title":"configuration.py <span style='color:#111;'> 261B </span>","children":null,"spread":false},{"title":"numpy_utils.py <span style='color:#111;'> 2.30KB </span>","children":null,"spread":false},{"title":"reader.py <span style='color:#111;'> 10.56KB </span>","children":null,"spread":false},{"title":"measurements.py <span style='color:#111;'> 701B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 121B </span>","children":null,"spread":false},{"title":"tagger_data.py <span style='color:#111;'> 3.39KB </span>","children":null,"spread":false},{"title":"dictionary.py <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"scores_pb2.py <span style='color:#111;'> 3.57KB </span>","children":null,"spread":false},{"title":"io_utils.py <span style='color:#111;'> 4.73KB </span>","children":null,"spread":false},{"title":"constants.py <span style='color:#111;'> 736B </span>","children":null,"spread":false},{"title":"features.py <span style='color:#111;'> 645B </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"theano","children":[{"title":"util.py <span style='color:#111;'> 489B </span>","children":null,"spread":false},{"title":"tagger.py <span style='color:#111;'> 5.36KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"optimizer.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"layer.py <span style='color:#111;'> 16.73KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}],"spread":true}],"spread":true}],"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