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<oembed><version>1.0</version><provider_name>ISE Developer Blog</provider_name><provider_url>https://devblogs.microsoft.com/ise</provider_url><author_name>Olga Liakhovich</author_name><author_url>https://devblogs.microsoft.com/ise/author/olga-liakhovich/</author_url><title>Sequence Intent Classification Using Hierarchical Attention Networks - ISE Developer Blog</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="MpucQ40SMl"&gt;&lt;a href="https://devblogs.microsoft.com/ise/sequence-intent-classification/"&gt;Sequence Intent Classification Using Hierarchical Attention Networks&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://devblogs.microsoft.com/ise/sequence-intent-classification/embed/#?secret=MpucQ40SMl" width="600" height="338" title="&#x201C;Sequence Intent Classification Using Hierarchical Attention Networks&#x201D; &#x2014; ISE Developer Blog" data-secret="MpucQ40SMl" 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><thumbnail_url>https://devblogs.microsoft.com/ise/wp-content/uploads/sites/55/2018/03/featured-1-scaled.jpg</thumbnail_url><thumbnail_width>2560</thumbnail_width><thumbnail_height>1672</thumbnail_height><description>We analyze how Hierarchical Attention Neural Networks could be helpful with malware detection and classification scenarios, demonstrating the usefulness of this approach for generic sequence intent analysis. The novelty of our approach is in applying techniques that are used to discover structure in a narrative text to data that describes the behavior of executables.</description></oembed>
