abstract句子结构是文本语言质量的关键,我们记录了以下实验结果:句法短语统计和其他结构特征对文本方面的预测能力.手工评估的句子fluency流利度用于机器翻译评估和文本摘要质量的评估是黄金准则.我们发现和短语长度相关的结构特征是弱特征,但是与fluency强相关,基于整个结构特征的分类器可以在句子fluency成对比较和区分机器翻译和人类翻译上取得高准确率.我们也测试了这个假设即,学到的模型可以捕捉人类创作文本的普遍的fluency性质.实验结果不支持这种假设.同时结构特征和基于结构特征的…

Sequence Models This is the fifth and final course of the deep learning specialization at Coursera which is moderated by deeplearning.ai Here are the course summary as its given on the course link: This course will teach you how to build models for n…

About this Course This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting…

[清华NLP]图神经网络GNN论文分门别类,16大应用200+篇论文最新推荐 图神经网络研究成为当前深度学习领域的热点.最近,清华大学NLP课题组Jie Zhou, Ganqu Cui, Zhengyan Zhang and Yushi Bai同学对 GNN 相关的综述论文.模型与应用进行了综述,并发布在 GitHub 上.16大应用包含物理.知识图谱等最新论文整理推荐. GitHub 链接: https://github.com/thunlp/GNNPapers 目录            …

Getting Started with Word2Vec 1. Source by Google Project with Code: https://code.google.com/archive/p/word2vec/ Blog: Learning Meaning Behind Words Paper: Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. Efficient Estimation of Word Represen…

http://www.datamation.com/open-source/ Accessibility 1. The Accessibility Project The Business Value of Cisco UCS Integrated Infrastructure Solutions for Running SAP Workloads Download Now Launched in 2013, this site aims to provide information on ma…

IPTV的服务质量(QoE)要求 Quality of experience requirements for IPTV services Summary This Recommendation defines user requirements for Quality ofExperience for IPTV services. The QoE requirements are defined from an end userperspective and are agnostic to n…

文件输入功能 1.该插件将将一个简单的 HTML 文件输入转换为高级文件选取器控件.将有助于对不支持 JQuery 或 Javascript 的浏览器的正常 HTML 文件输入进行回退. 2.文件输入由以下三部分组成, 其中包含用于控制显示的选项和模板: 文件标题部分: 显示所选文件的简短信息 "文件操作按钮" 部分: 浏览.删除和上载文件. 文件预览部分: 在客户端上显示选定的文件以进行预览 (支持预览图像.文本.flash 和视频文件类型).其他文件类型将显示为普通缩略图. 3.如…

Feature engineering is an informal topic, but one that is absolutely known and agreed to be key to success in applied machine learning. In creating this guide I went wide and deep and synthesized all of the material I could. You will discover what fe…

目录 Representation Feature Engineering Mapping Raw Data to Features Mapping numeric values Mapping categorical values Sparse Representation Glossay Qualities of Good Features Avoid rarely used discrete feature values Prefer clear and obvious meanings…