{"id":17928,"date":"2016-10-28T17:08:25","date_gmt":"2016-10-28T17:08:25","guid":{"rendered":"https:\/\/developer.kore.com\/?post_type=docs&p=8558"},"modified":"2021-03-26T09:01:58","modified_gmt":"2021-03-26T09:01:58","slug":"user-utterances","status":"publish","type":"post","link":"https:\/\/developer.kore.ai\/v7-3\/docs\/bots\/nlp\/user-utterances\/","title":{"rendered":"Machine Learning"},"content":{"rendered":"
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Developers need to provide sample utterances for each intent (task) the bot needs to identify to train the machine learning model. The platform ML engine will build a model that will try to map a user utterance to one of the bot intents.<\/p>\n

Kore.ai\u2019s Bots Platform allows fully unsupervised machine learning to constantly expand the language capabilities of your chatbot \u2013 without human intervention. Unlike unsupervised models in which chatbots learn from any input \u2013 good or bad \u2013 the Kore.ai Bots Platform enables chatbots to automatically increase their vocabulary only when the chatbot successfully recognizes the intent and extracts the entities of a human\u2019s request to complete a task.<\/p>\n

However, we recommend keeping Supervised learning enabled to monitor the bot performance and manually tune where required. Using the bots platform, developers can evaluate all interaction logs, easily change NL settings for failed scenarios, and use the learnings to retrain the bot for better conversations.<\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n

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Adding Machine Learning Utterances<\/span><\/h3>\n
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  1. Open the bot for which you want to add sample user utterances.<\/li>\n
  2. Hover over the side navigation panel and then click\u00a0Natural Language ->\u00a0Training<\/b>.<\/li>\n
  3. Select the Machine Learning Utterances\u00a0<\/b>tab.<\/li>\n<\/ol>\n

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    The negation of trained intents will be ignored by the platform.
    \nFor example, consider a Banking Bot with trained utterance – Funds Transfer. Then a user utterance “My account is debited even without doing funds transfer<\/span>” will not trigger the “funds transfer” task.<\/p>\n

    Named Entity Recognition<\/span><\/h3>\n

    Apart from the intent, you can train your Bot to recognize the entities, if present, in the user utterance. For example, if the user says “Book Flight from Hyderabad to Mumbai” apart from recognizing the intent as “Book Flight” the source and destination of the flight should also be recognized. This can be achieved by marking the entities in the user utterance during training.<\/p>\n

    You can mark entities in your utterances, by selecting the entity value and clicking the corresponding entity from the drop-down list.
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    The platform will also try to identify and mark the entities, you have the option to accept or discard these suggestions. The platform will identify the entities based upon:<\/p>\n