{"id":18103,"date":"2019-01-30T11:11:24","date_gmt":"2019-01-30T11:11:24","guid":{"rendered":"\/docs\/bots\/bot-builder\/train\/"},"modified":"2021-03-30T12:55:15","modified_gmt":"2021-03-30T11:55:15","slug":"optimizing-bots","status":"publish","type":"post","link":"https:\/\/developer.kore.ai\/v7-1\/docs\/bots\/nlp\/optimizing-bots\/","title":{"rendered":"Improving Bot Performance &#8211; NLP Optimization"},"content":{"rendered":"<section class=\"l-section wpb_row height_auto\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row type_default valign_top\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p>A chatbot\u2019s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation.<\/p>\n<p>Kore.ai\u2019s Platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training. Bots built on Kore.ai\u2019s Platform can understand and process multi-sentence messages, multiple intents, contextual references made by the user, patterns and idiomatic sentences, and more.<\/p>\n<p>The NL engine includes recognition support for a wide range of entities and provides the tools needed to further customize your bot\u2019s language understanding using additional patterns.<\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-separator size_medium with_line width_default thick_1 style_solid color_border align_center\"><div class=\"w-separator-h\"><\/div><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<h3><span class=\"ez-toc-section\" id=\"Optimizing_your_Bot_for_Natural_Language_Understanding\">Optimizing your Bot for Natural Language Understanding<\/span><\/h3>\n<p>To make sure your Bot is NLP-optimized, you can define, and refine names and terms used for your bot to enhance the NLP interpreter accuracy and performance to recognize the right Bot task for the user.<br \/>\nYou begin by defining synonyms at the task level, and then manage and refine synonyms, and test at the Bot level.<\/p>\n<p>To get started optimizing your bot and bot tasks, you need to access the <strong>Natural Language<\/strong>\u00a0options. These options are categorized\u00a0under various headings for your convenience:<\/p>\n<ul>\n<li><strong>Training<\/strong> &#8211;\u00a0In the Training section, you\u00a0can define how the NLP interpreter recognizes and responds to the user input for a Bot, and then train the interpreter to recognize the correct user intent.\n<ul>\n<li><strong>Machine Learning Utterances<\/strong> &#8211; With Machine Learning, you can enhance Bot recognition of user utterances for better recognition and system performance for the user intent, which is the intended task that the user wants to access.<\/li>\n<li><strong>Synonyms &amp; Concepts<\/strong> &#8211; You can use the Synonyms section to optimize the NLP interpreter accuracy in recognizing the correct intent and entity provided by the user.<\/li>\n<li><strong>Patterns<\/strong> &#8211; In the Patterns section, you can define slang, metaphors, or other idiomatic expressions for intent and entities.<\/li>\n<li><strong>Thresholds &amp; Configurations<\/strong> &#8211; Using this section, you can define the recognition confidence levels required for minimum recognition actions, the confidence range for asking a user to choose from a list of possible matches, and a recognition confidence level for a positive match for knowledge graph.<\/li>\n<li>Modify additional settings like <strong>auto training<\/strong> setting for user utterances and <strong>negative intent patterns<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Intelligence<\/strong> &#8211; This section helps enhance the bot capabilities beyond its defined tasks. This section helps you guide the bot behavior in deviations and disruptions.\n<ul>\n<li><strong>Manage Interruptions<\/strong> allows you to define how interruptions identified during ongoing task execution should be handled.<\/li>\n<li><strong>Amend Entity<\/strong> enables the user to amend requests and defines the bot behavior in such scenarios.<\/li>\n<li>Configure bot to allow identification of <strong>multiple intents<\/strong> when present in the user utterance.<\/li>\n<li>Modify additional advanced settings like subdomains, bot contact card, and Kore.ai identity requirements.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Default Conversations\u00a0<\/strong>&#8211; This section allows one to defines responses to standard queries, bot events and when an intent is not understood.<\/li>\n<\/ul>\n<p><a ref=\"magnificPopup\" href=\"\/wp-content\/uploads\/sites\/12\/Natural-Language-tab-1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-16738\" src=\"\/wp-content\/uploads\/sites\/12\/Natural-Language-tab-1.png\" alt=\"\" width=\"250\" height=\"764\" \/><\/a><\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-separator size_medium with_line width_default thick_1 style_solid color_border align_center\"><div class=\"w-separator-h\"><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"A chatbot\u2019s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation. Kore.ai\u2019s Platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training. Bots built on Kore.ai\u2019s Platform...","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-18103","post","type-post","status-publish","format-standard","hentry","category-nlp"],"_links":{"self":[{"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/posts\/18103","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/comments?post=18103"}],"version-history":[{"count":3,"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/posts\/18103\/revisions"}],"predecessor-version":[{"id":22697,"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/posts\/18103\/revisions\/22697"}],"wp:attachment":[{"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/media?parent=18103"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/categories?post=18103"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/developer.kore.ai\/v7-1\/wp-json\/wp\/v2\/tags?post=18103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}