{"id":3030,"date":"2020-01-28T10:09:55","date_gmt":"2020-01-28T18:09:55","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/microsoft-copilot\/blog\/copilot-studio\/smart-entity-extraction-and-proactive-slot-filling\/"},"modified":"2024-06-05T05:43:43","modified_gmt":"2024-06-05T12:43:43","slug":"smart-entity-extraction-and-proactive-slot-filling","status":"publish","type":"copilot","link":"https:\/\/www.microsoft.com\/en-us\/microsoft-copilot\/blog\/copilot-studio\/smart-entity-extraction-and-proactive-slot-filling\/","title":{"rendered":"Smart Entity Extraction and Proactive Slot Filling"},"content":{"rendered":"<p>To identify entities in a user dialog is an important part of natural language understanding. Microsoft Power Virtual Agents comes with a set of pre-built entities that help the bot understand the most commonly used information types from user input. You can also create custom entities to grant the bot domain-specific knowledge.<\/p>\n<p>By specifying the type of entity to identify in a &#8216;Question&#8217; node, the bot can extract and remember specific type of information and save it to a variable.\u00a0 When having a conversation with end-users, the bot will actively listen to user responses, and always try to identify entities upfront to avoid asking unnecessary questions.<\/p>\n<p>Check out this brief video to learn more about how to leverage smart entity extraction and proactive slot filling to build a more intelligent bot.<\/p>\n<p><iframe loading=\"lazy\" title=\"Power Virtual Agents deep dive: How to use slots and entities\" width=\"700\" height=\"394\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/aBv3SI_eZ-w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>\u00a0<\/p>\n<p>We&#8217;d love to hear about your experience with this feature! Please visit our community forum at <a href=\"https:\/\/aka.ms\/PowerVirtualAgentsForum\">https:\/\/aka.ms\/PowerVirtualAgentsForum<\/a> and share your feedback.<\/p>\n<p>If you have any idea requests, please submit them at <a href=\"https:\/\/aka.ms\/PowerVirtualAgentsIdeas\">https:\/\/aka.ms\/PowerVirtualAgentsIdeas<\/a>.<\/p>\n<p>Thanks!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Use smart entity extraction and proactive slot filling to help the bot understand your users&#8217; input more effectively.<\/p>\n","protected":false},"author":43,"featured_media":348,"template":"","copilot-category":[630],"copilot-tag":[],"coauthors":[686],"class_list":["post-3030","copilot","type-copilot","status-publish","has-post-thumbnail","hentry","copilot-category-copilotstudio"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Smart Entity Extraction and Proactive Slot Filling | Microsoft Copilot 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