Refine readme.md in nested_sequence #382
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| # 基于双层序列的应用 | ||
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| ## 简介 | ||
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There was a problem hiding this comment. 这个写法会有一个问题，双层序列并不是只能用在 NLP 问题中。 |
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| 序列是自然语言处理任务面对的一种主要输入数据类型：句子由词语构成，而多个句子进一步构成了段落。因此，段落可以看作是一个嵌套的序列（或者叫作：双层序列），这个序列的每个元素又是一个序列。 | ||
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| 双层序列是 PaddlePaddle 支持的一种非常灵活的数据组织方式，能够帮助我们更好地描述段落、多轮对话等更为复杂的语言数据。以双层序列作为输入，我们可以设计一个层次化的网络，分别从词语和句子级别编码输入数据，从而更好地完成一些复杂的语言理解任务。 | ||
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| 本单元将介绍如何在 PaddlePaddle 中实现基于双层序列数据的具体应用。 | ||
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| - [基于双层序列的文本分类](https://github.com/PaddlePaddle/models/tree/develop/nested_sequence/text_classification) | ||
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| <html> | ||
| <head> | ||
| <script type="text/x-mathjax-config"> | ||
| MathJax.Hub.Config({ | ||
| extensions: ["tex2jax.js", "TeX/AMSsymbols.js", "TeX/AMSmath.js"], | ||
| jax: ["input/TeX", "output/HTML-CSS"], | ||
| tex2jax: { | ||
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| </script> | ||
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| <link href="http://cdn.bootcss.com/highlight.js/9.9.0/styles/darcula.min.css" rel="stylesheet"> | ||
| <script src="http://cdn.bootcss.com/highlight.js/9.9.0/highlight.min.js"></script> | ||
| <link href="http://cdn.bootcss.com/bootstrap/4.0.0-alpha.6/css/bootstrap.min.css" rel="stylesheet"> | ||
| <link href="https://cdn.jsdelivr.net/perfect-scrollbar/0.6.14/css/perfect-scrollbar.min.css" rel="stylesheet"> | ||
| <link href="../.tools/theme/github-markdown.css" rel='stylesheet'> | ||
| </head> | ||
| <style type="text/css" > | ||
| .markdown-body { | ||
| box-sizing: border-box; | ||
| min-width: 200px; | ||
| max-width: 980px; | ||
| margin: 0 auto; | ||
| padding: 45px; | ||
| } | ||
| </style> | ||
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| <body> | ||
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| <div id="context" class="container-fluid markdown-body"> | ||
| </div> | ||
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| <!-- This block will be replaced by each markdown file content. Please do not change lines below.--> | ||
| <div id="markdown" style='display:none'> | ||
| # 基于双层序列的应用 | ||
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| ## 简介 | ||
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| 序列是自然语言处理任务面对的一种主要输入数据类型：句子由词语构成，而多个句子进一步构成了段落。因此，段落可以看作是一个嵌套的序列（或者叫作：双层序列），这个序列的每个元素又是一个序列。 | ||
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| 双层序列是 PaddlePaddle 支持的一种非常灵活的数据组织方式，能够帮助我们更好地描述段落、多轮对话等更为复杂的语言数据。以双层序列作为输入，我们可以设计一个层次化的网络，分别从词语和句子级别编码输入数据，从而更好地完成一些复杂的语言理解任务。 | ||
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| 本单元将介绍如何在 PaddlePaddle 中实现基于双层序列数据的具体应用。 | ||
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| - [基于双层序列的文本分类](https://github.com/PaddlePaddle/models/tree/develop/nested_sequence/text_classification) | ||
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| </div> | ||
| <!-- You can change the lines below now. --> | ||
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| <script type="text/javascript"> | ||
| marked.setOptions({ | ||
| renderer: new marked.Renderer(), | ||
| gfm: true, | ||
| breaks: false, | ||
| smartypants: true, | ||
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| code = code.replace(/&/g, "&") | ||
| code = code.replace(/>/g, ">") | ||
| code = code.replace(/</g, "<") | ||
| code = code.replace(/ /g, " ") | ||
| return hljs.highlightAuto(code, [lang]).value; | ||
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| }); | ||
| document.getElementById("context").innerHTML = marked( | ||
| document.getElementById("markdown").innerHTML) | ||
| </script> | ||
| </body> |
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| # 基于双层序列的文本分类 | ||
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| ## 简介 | ||
| 本例将演示如何在 PaddlePaddle 中将长文本输入（通常能达到段落或者篇章基本）组织为双层序列，完成对长文本的分类任务。 | ||
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| ## 模型介绍 | ||
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把line1 删掉。
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DONE