Tag: Utterances

How to generate better utterances as a Conversation Designer

16Sep

By Caio CaladoNo Comments

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How to generate better utterances as a Conversation Designer

Utterances are messages that can be interpreted by your natural language processing engine and can be used as training data. To design a great conversational experience, Conversation Designers can help the team to generate utterances that can improve the AI models – but this is not a one-person job and many other roles can help on this task.Getting familiar with utterances and the common termsIf you’re not familiar with these concepts, these are some of the most common terms that you may encounter in a conversational AI project:Utterances: examples of messages that can be sent by a userIntents: it’s a collection of utterances and it represents what a user is trying to accomplish or expressing in a conversation. Ex: greetings, asking for something, or specifying a locationEntities: these ar...

Automatic Utterances Clustering for Chatbots | by Jinraj Jain

27May

By Jinraj JainNo Comments

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Automatic Utterances Clustering for Chatbots | by Jinraj Jain

A custom python model which automatically clean up the utterances and generate the possible clusters and slots, making it easier for you in merging those clusters together to form as many intents as you need to feed a chatbot?To build a chatbot, I feel that the high-level steps we usually take are the following.Collect Utterances and Cleanup — This includes removing unwanted utterances, email ids, numeric and special charactersCreate Intents — Analyse the utterances and start clustering the related utterances together to form intents.Create Slots — Identify associated words in the utterances to form slots/entities.Select NLP — The core component that interprets the user's utterance and converts that language to structured inputs (Intents and Slots) the system can process. The top NLPs avai...