NLPForDiscourseStructures:基于章节章结构自动作文评分系统

上传者: 42110038 | 上传时间: 2024-04-07 21:55:09 | 文件大小: 1.99MB | 文件类型: ZIP
议论文篇章结构评分系统 一,项目概述 本项目为自动作文评分中章节结构的评分,第一版本方案(章节结构评分系统V1.0.0)主要包括章节结构特征提取模块,章节结构评分模型训练模块以及模型测试模块三部分,随后根据模型效果再完善优化改进。 二,功能接口定义 输入数据:文章自动输出数据:该文章的章节章结构分数 三,总体流程 3.1篇章结构标签介绍 目前的方案主要是判断章节章结构的完整度,一个完整的议论文文章应该包含以下章节章结构: 3.1.1开头段 背景(background): 观点(point): 过渡句(transition): 3.1.2理由段 理由(原因): 理由解释(原因说明): 例子(example): 例子解释(示例说明): </

文件下载

资源详情

[{"title":"( 113 个子文件 1.99MB ) NLPForDiscourseStructures:基于章节章结构自动作文评分系统","children":[{"title":"ADMResult <span style='color:#111;'> 187.79KB </span>","children":null,"spread":false},{"title":"ADMTrainLM <span style='color:#111;'> 27.64KB </span>","children":null,"spread":false},{"title":"BGResult <span style='color:#111;'> 187.81KB </span>","children":null,"spread":false},{"title":"BGTrainLM <span style='color:#111;'> 47.67KB </span>","children":null,"spread":false},{"title":"EGTrain.txt.count <span style='color:#111;'> 98.59KB </span>","children":null,"spread":false},{"title":"REXPTrain.txt.count <span style='color:#111;'> 93.63KB </span>","children":null,"spread":false},{"title":"BGTrain.txt.count <span style='color:#111;'> 50.94KB </span>","children":null,"spread":false},{"title":"RTTTrain.txt.count <span style='color:#111;'> 39.33KB </span>","children":null,"spread":false},{"title":"EEXPTrain.txt.count <span style='color:#111;'> 34.94KB </span>","children":null,"spread":false},{"title":"RSTrain.txt.count <span style='color:#111;'> 31.00KB </span>","children":null,"spread":false},{"title":"ADMTrain.txt.count <span style='color:#111;'> 29.07KB </span>","children":null,"spread":false},{"title":"SRSTrain.txt.count <span style='color:#111;'> 26.56KB </span>","children":null,"spread":false},{"title":"IRLTrain.txt.count <span style='color:#111;'> 20.97KB </span>","children":null,"spread":false},{"title":"RAFMTrain.txt.count <span style='color:#111;'> 19.58KB </span>","children":null,"spread":false},{"title":"PTTrain.txt.count <span style='color:#111;'> 17.53KB </span>","children":null,"spread":false},{"title":"TSTTrain.txt.count <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"GRLTrain.txt.count <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"EEXPResult <span style='color:#111;'> 187.81KB </span>","children":null,"spread":false},{"title":"EEXPTrainLM <span style='color:#111;'> 33.18KB </span>","children":null,"spread":false},{"title":"EGResult <span style='color:#111;'> 187.71KB </span>","children":null,"spread":false},{"title":"EGTrainLM <span style='color:#111;'> 87.68KB </span>","children":null,"spread":false},{"title":"python.iml <span style='color:#111;'> 354B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.19KB </span>","children":null,"spread":false},{"title":"ExtraTrees test result.png <span style='color:#111;'> 133.16KB </span>","children":null,"spread":false},{"title":"ExtraTrees train result.png <span style='color:#111;'> 132.84KB </span>","children":null,"spread":false},{"title":"篇章结构评分系统思维导图.png <span style='color:#111;'> 107.88KB </span>","children":null,"spread":false},{"title":"Conclusion_new_features.png <span style='color:#111;'> 60.24KB </span>","children":null,"spread":false},{"title":"Reason_new_features.png <span style='color:#111;'> 59.60KB </span>","children":null,"spread":false},{"title":"Introduction_new_features.png <span style='color:#111;'> 54.99KB </span>","children":null,"spread":false},{"title":"Concession_new_features.png <span style='color:#111;'> 53.26KB </span>","children":null,"spread":false},{"title":"分析树.png <span style='color:#111;'> 30.14KB </span>","children":null,"spread":false},{"title":"PTResult <span style='color:#111;'> 187.95KB </span>","children":null,"spread":false},{"title":"PTTrainLM <span style='color:#111;'> 17.64KB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 24.59KB </span>","children":null,"spread":false},{"title":"DataProcessing.py <span style='color:#111;'> 20.82KB </span>","children":null,"spread":false},{"title":"Structural.py <span style='color:#111;'> 6.52KB </span>","children":null,"spread":false},{"title":"DecisionTree.py <span style='color:#111;'> 5.47KB </span>","children":null,"spread":false},{"title":"SVM.py <span style='color:#111;'> 5.39KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 5.14KB </span>","children":null,"spread":false},{"title":"IntegrateFeature.py <span style='color:#111;'> 3.97KB </span>","children":null,"spread":false},{"title":"ExtractTrainSetByNGram.py <span style='color:#111;'> 2.61KB </span>","children":null,"spread":false},{"title":"nltkDemo.py <span style='color:#111;'> 2.29KB </span>","children":null,"spread":false},{"title":"DataNormalize.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"ExtractTestSetByNGram.py <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"nltkDemo2.py <span style='color:#111;'> 855B </span>","children":null,"spread":false},{"title":"nltkDemo3.py <span style='color:#111;'> 512B </span>","children":null,"spread":false},{"title":"test1.py <span style='color:#111;'> 228B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"config.cpython-35.pyc <span style='color:#111;'> 4.55KB </span>","children":null,"spread":false},{"title":"__init__.cpython-35.pyc <span style='color:#111;'> 169B </span>","children":null,"spread":false},{"title":"RAFMResult <span style='color:#111;'> 187.96KB </span>","children":null,"spread":false},{"title":"RAFMTrainLM <span style='color:#111;'> 20.38KB </span>","children":null,"spread":false},{"title":"REXPResult <span style='color:#111;'> 187.68KB </span>","children":null,"spread":false},{"title":"REXPTrainLM <span style='color:#111;'> 81.18KB </span>","children":null,"spread":false},{"title":"RTTResult <span style='color:#111;'> 187.82KB </span>","children":null,"spread":false},{"title":"RTTTrainLM <span style='color:#111;'> 35.86KB </span>","children":null,"spread":false},{"title":"SRSResult <span style='color:#111;'> 187.90KB </span>","children":null,"spread":false},{"title":"SRSTrainLM <span style='color:#111;'> 24.83KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult20171122.text <span style='color:#111;'> 1022.63KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult20171117.text <span style='color:#111;'> 410.87KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult20171120.text <span style='color:#111;'> 283.33KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult20171116.text <span style='color:#111;'> 234.36KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult2017112101.text <span style='color:#111;'> 205.12KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult20171121.text <span style='color:#111;'> 79.43KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult2017111502.text <span style='color:#111;'> 59.32KB </span>","children":null,"spread":false},{"title":"RandomForestPredictResult20171116.text <span style='color:#111;'> 42.19KB </span>","children":null,"spread":false},{"title":"RandomForestPredictResult20171117.text <span style='color:#111;'> 28.12KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult20171122.text <span style='color:#111;'> 27.38KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult2017111501.text <span style='color:#111;'> 22.54KB </span>","children":null,"spread":false},{"title":"SVMPredictResult20171117.text <span style='color:#111;'> 11.97KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult20171121.text <span style='color:#111;'> 9.86KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult20171115.text <span style='color:#111;'> 8.97KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult20171117.text <span style='color:#111;'> 8.46KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult20171120.text <span style='color:#111;'> 6.95KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult20171116.text <span style='color:#111;'> 5.13KB </span>","children":null,"spread":false},{"title":"RandomForestResult20171114.text <span style='color:#111;'> 5.09KB </span>","children":null,"spread":false},{"title":"ExtraTreesResult20171114.text <span style='color:#111;'> 5.04KB </span>","children":null,"spread":false},{"title":"ExtraTreesResult20171115.text <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"ExtraTreesCrossValidationResult2017111502.text <span style='color:#111;'> 3.57KB </span>","children":null,"spread":false},{"title":"ExtraTreesResult.text <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"RandomForestResult.text <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false},{"title":"DecisionTreeResult20171114.text <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":"ExtraTreesPredictResult2017111501.text <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"RandomForestResult20171115.text <span style='color:#111;'> 1.66KB </span>","children":null,"spread":false},{"title":"DecisionTreeResult.text <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"SVMResult20171114.text <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"RandomForestCrossValidationResult20171116.text <span style='color:#111;'> 942B </span>","children":null,"spread":false},{"title":"testFile.txt <span style='color:#111;'> 94.90KB </span>","children":null,"spread":false},{"title":"REXPFile.txt <span style='color:#111;'> 19.00KB </span>","children":null,"spread":false},{"title":"EGFile.txt <span style='color:#111;'> 17.68KB </span>","children":null,"spread":false},{"title":"BGFile.txt <span style='color:#111;'> 10.03KB </span>","children":null,"spread":false},{"title":"RSFile.txt <span style='color:#111;'> 7.36KB </span>","children":null,"spread":false},{"title":"RTTFile.txt <span style='color:#111;'> 7.09KB </span>","children":null,"spread":false},{"title":"ADMFile.txt <span style='color:#111;'> 6.17KB </span>","children":null,"spread":false},{"title":"IRLFile.txt <span style='color:#111;'> 6.16KB </span>","children":null,"spread":false},{"title":"EEXPFile.txt <span style='color:#111;'> 6.01KB </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