{"id":11813,"date":"2019-06-25T10:04:59","date_gmt":"2019-06-25T18:04:59","guid":{"rendered":"http:\/\/devblogs.microsoft.com\/vsnews\/?p=11813"},"modified":"2019-06-25T10:04:59","modified_gmt":"2019-06-25T18:04:59","slug":"aa5esj2","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/vsnews\/akams-aa5esj2\/","title":{"rendered":"Microsoft\u2019s MT-DNN Achieves Human Performance Estimate on General Language Understanding Evaluation (GLUE) Benchmark"},"content":{"rendered":"<p>Understanding natural language is one of the longest running goals of AI, which can trace back to 1950s when the Turing test defines an \u201cintelligent\u201d machine. In recent years, we have observed promising results in many Natural Language Understanding (NLU) tasks both in academia and industry, as the breakthroughs in deep learning are applied to NLU, such as the BERT model developed by Google in 2018.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Understanding natural language is one of the longest running goals of AI, which can trace back to 1950s when the Turing test defines an \u201cintelligent\u201d machine. In recent years, we have observed promising results in many Natural Language Understanding (NLU) tasks both in academia and industry, as the breakthroughs in deep learning are applied to [&hellip;]<\/p>\n","protected":false},"author":836,"featured_media":8227,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-11813","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allskus"],"acf":[],"blog_post_summary":"<p>Understanding natural language is one of the longest running goals of AI, which can trace back to 1950s when the Turing test defines an \u201cintelligent\u201d machine. In recent years, we have observed promising results in many Natural Language Understanding (NLU) tasks both in academia and industry, as the breakthroughs in deep learning are applied to [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/11813","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/users\/836"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/comments?post=11813"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/11813\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/media\/8227"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/media?parent=11813"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/categories?post=11813"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/tags?post=11813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}