发明名称 SYSTEMS AND METHODS FOR CONFIGURING KNOWLEDGE SETS AND AI ALGORITHMS FOR AUTOMATED MESSAGE EXCHANGES
摘要 Systems and methods for configuring AI algorithms and knowledge sets within an automated messaging system are providing. In some embodiments, a message is received. A subsection of text from the training message is selected. Likewise, a knowledge set is selected. The knowledge set includes probabilistic associations between a term and a category. The terms in the selected subsection of text are compared to the knowledge sets to generate insights and contexts. The insights enable the categorization of the training message. This categorization has an associated confidence value based upon how strongly the terms in the text subsection are associated with the category (per the selected knowledge set). A low confidence value causes the message to be a candidate for training (a training message). Once identified as a training message, it may be displayed to an AI developer for approval or rejection of the categorization. The probabilities of the associations within the knowledge sets are updated in response to these approvals and/or rejections.
申请公布号 US2016217391(A1) 申请公布日期 2016.07.28
申请号 US201514604610 申请日期 2015.01.23
申请人 Conversica, LLC 发明人 Brigham Benjamin P.
分类号 G06N99/00;G06N5/02 主分类号 G06N99/00
代理机构 代理人
主权项 1. In a computerized knowledge learning system, a method for configuring knowledge sets and AI algorithms, useful in association with an automated messaging system, the method comprising: receiving a at least one training message; selecting a subsection of text from the at least one training message; selecting a knowledge set from a plurality of knowledge sets for the selected subsection of text, wherein each knowledge set includes probabilistic associations between a term and a category; selecting an insight from a plurality of insights for the selected subsection of text based upon associations of the terms within the subsection of text given the selected knowledge set; categorizing the training message based upon the insight; receiving one of approval or rejection of the categorization; and updating the probabilities of the associations in response to the received approval or rejection.
地址 Foster City CA US