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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,提出了用于协助安排会议的系统,方法和设备。可以接收包括多个句子的消息。可以使用分层注意力模型来识别与会议的安排有关的多个句子中的句子的子集。可以基于与至少一个会议参数有关来识别可能与会议安排有关的句子子集中的单词子集。单词的子集可以被分成包括来自单词的子集的,在会议相关性阈值以上的单词的第一组,以及包括来自单词的子集的,在会议相关性阈值以下的单词的第二组。与安排会议有关的自动操作可能会导致执行。

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