{"id":164135,"date":"2013-05-01T00:00:00","date_gmt":"2013-05-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/techware-spoken-language-understanding-slu-resources\/"},"modified":"2018-10-16T20:07:16","modified_gmt":"2018-10-17T03:07:16","slug":"techware-spoken-language-understanding-slu-resources","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/techware-spoken-language-understanding-slu-resources\/","title":{"rendered":"TechWare: Spoken Language Understanding (SLU) Resources"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This column first presents a very high level review of the SLU technology, starting from its place in a spoken dialog system, then focusing on well established SLU tasks such as domain detection, intent determination, and slot filling, along with corresponding benchmark data sets and methods.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This column first presents a very high level review of the SLU technology, starting from its place in a spoken dialog system, then focusing on well established SLU tasks such as domain detection, intent determination, and slot filling, along with corresponding benchmark data sets and 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