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SYSTEM AND METHOD FOR CREATING DATA TO TRAIN A CONVERSATIONAL BOT
SYSTEM AND METHOD FOR CREATING DATA TO TRAIN A CONVERSATIONAL BOT
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机译:创建数据以培训会话机器人的系统和方法
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摘要
A system and method for creating input data to be used to train a conversational bot may include receiving a set of conversations, each conversation including sentences, classifying each sentence into a dialog act taken from a number of dialog acts, for each set of sentences classified into a dialog act, clustering the set of sentences into clusters based on the content (e.g. text) of the sentences, each cluster having a cluster name or label, and generating a language model based on the cluster labels. Slots may be identified in the sentences based in part on the dialog act classifications. A bot may be trained using data such as the slots, language model, and clusters.
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