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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Chengyun Qiu</author_name><author_url>https://www.microsoft.com/en-us/research/people/v-cheqi/</author_url><title>Statistical Entity Extraction from Web - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="r3REiv0pdS"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/statistical-entity-extraction-web/"&gt;Statistical Entity Extraction from Web&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/statistical-entity-extraction-web/embed/#?secret=r3REiv0pdS" width="600" height="338" title="&#x201C;Statistical Entity Extraction from Web&#x201D; &#x2014; Microsoft Research" data-secret="r3REiv0pdS" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>There are various kinds of valuable semantic information about real-world entities embedded in web pages and databases. Extracting and integrating these entity information from the Web is of great significance. Comparing to traditional information extraction problems, web entity extraction needs to solve several new challenges to fully take advantage of the unique characteristic of the [&hellip;]</description></oembed>
