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SENTENCE ATTENTION MODELING FOR EVENT SCHEDULING VIA ARTIFICIAL INTELLIGENCE AND DIGITAL ASSISTANTS

机译:通过人工智能和数字助理进行事件调度的句子注意力建模

摘要

In non-limiting examples of the present disclosure, systems, methods and devices for assisting with scheduling a meeting are presented. A message comprising a plurality of sentences may be received. A hierarchical attention model may be utilized to identify a subset of sentences of the plurality of sentences that are relevant to a scheduling of the meeting. A subset of words in the subset of sentences that are potentially relevant to scheduling of the meeting may be identified based on relating to at least one meeting parameter. The subset of words may be split into a first group comprising words from the subset of words that are above a meeting relevance threshold value, and a second group comprising words from the subset of words that are below a meeting relevance threshold value. An automated action associated with scheduling the meeting may he caused to be performed.
机译:在本公开的非限制性示例中,呈现用于辅助调度会议的系统,方法和设备。 可以接收包括多个句子的消息。 可以利用分层注意模型来识别与会议调度相关的多个句子的句子的子集。 可以基于与至少一个会议参数有关的句子中可能与会议调度有关的句子子集中的一个子集。 单词子集可以被分成来自来自高于满足相关阈值的单词子集的单词的第一组,以及第二组包括来自低于满足相关阈值的单词子集的单词。 他可以执行与调度会议相关联的自动操作。

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