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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>Eslam Kamal</author_name><author_url>https://www.microsoft.com/en-us/research/people/eskam/</author_url><title>Named Entity Recognizer (NER) - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="LwfX1hNMyP"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/named-entity-recognizer-ner/"&gt;Named Entity Recognizer (NER)&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/named-entity-recognizer-ner/embed/#?secret=LwfX1hNMyP" width="600" height="338" title="&#x201C;Named Entity Recognizer (NER)&#x201D; &#x2014; Microsoft Research" data-secret="LwfX1hNMyP" 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>Definition Detects and classifies named entities for persons, locations and organizations categories Features Arabic named entities detection and classification The Arabic Named Entity Recognizer (NER) extracts named entities from standard Arabic text and classifies them into three main types: proper names, locations, and organizations. Arabic NER can extract foreign and Arabic names, location entities such [&hellip;]</description><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/atks-ner-example1.png</thumbnail_url></oembed>
