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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>Hanna Wallach</author_name><author_url>https://www.microsoft.com/en-us/research/people/wallach/</author_url><title>Detecting and Characterizing Events - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="IIS1bGf5rJ"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/detecting-and-characterizing-events/"&gt;Detecting and Characterizing Events&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/detecting-and-characterizing-events/embed/#?secret=IIS1bGf5rJ" width="600" height="338" title="&#x201C;Detecting and Characterizing Events&#x201D; &#x2014; Microsoft Research" data-secret="IIS1bGf5rJ" 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>Significant events are characterized by interactions between entities (such as countries, organizations, or individuals) that deviate from typical interaction patterns. Analysts, including historians, political scientists, and journalists, commonly read large quantities of text to construct an accurate picture of when and where an event happened, who was involved, and in what ways. In this paper, [&hellip;]</description></oembed>
