GT是一个网络论坛。
Because of both complex page layout designs and unrestricted user created posts, extracting structured data from web forum pages is a very challenging task and not solved well.
然而由于网页布局设计的复杂性和用户发表帖子的灵活性，从论坛网页中抽取结构化的数据是一项未能很好解决并非常具有挑战性的任务。
We'll use a simple example of a Web forum to show off the significant features.
我们将以一个简单的Web论坛为例，向您展示最重要的特性。
The purpose is to analyze the semantic drift phenomenon, and further find the integrated semantic units in Web forum sites.
目的在于分析论坛站点中语义漂移现象，进而发现论坛中的完整语义信息单元。
With the rapid development of Internet, BBS, also called Web forum, has become an important platform where people express their public opinions freely.
随着互联网的飞速发展，BBS（即网络论坛）已经成为人们自由发表言论，表达民意的重要平台。
Because of both complex page layout designs and unrestricted user created posts, extracting structured data from Web forum pages is a very challenging task and not easily solved.
由于网页布局设计的复杂性和用户发表帖子的灵活性，从论坛网页中抽取结构化的数据是一项未能很好解决并非常具有挑战性的任务。
Because of both complex page layout designs and unrestricted user created posts, extracting structured data from Web forum pages is a very challenging task and not easily solved.
由于网页布局设计的复杂性和用户发表帖子的灵活性，从论坛网页中抽取结构化的数据是一项未能很好解决并非常具有挑战性的任务。
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