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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>Xiaodong He</author_name><author_url>https://www.microsoft.com/en-us/research/people/xiaohe/</author_url><title>Neural Information Processing Systems (NIPS) 2008 - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="sDMuPQLjU6"&gt;&lt;a href="https://www.microsoft.com/en-us/research/event/nips-2008/"&gt;Neural Information Processing Systems (NIPS) 2008&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/event/nips-2008/embed/#?secret=sDMuPQLjU6" width="600" height="338" title="&#x201C;Neural Information Processing Systems (NIPS) 2008&#x201D; &#x2014; Microsoft Research" data-secret="sDMuPQLjU6" 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>This workshop is intended for researchers interested in machine learning methods for speech and language processing and in unifying approaches to several outstanding speech and language processing issues. In the last few years, significant progress has been made in both research and commercial applications of speech and language processing. Despite the superior empirical results, however, [&hellip;]</description></oembed>
