Extracting actionable information from emails
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United States of America Patent
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Aug 14, 2018
Grant Date -
Jan 25, 2018
app pub date -
Jul 20, 2016
filing date -
Jul 20, 2016
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Abstract
Systems and methods are provided for extracting actionable information from emails in a completely unsupervised manner with no need for the data to be labeled (i.e., the systems and methods do not a human to identify unlabeled or relabeled emails). Changes in the email structure are automatically incorporated to learn new templates through the novel concept of sub-templates. The systems and methods incorporate the minor variations in email structure seamlessly, without needing to introduce new templates. Email templates are computed as permutations of multiple sub-templates in the email, which allows the systems and methods to handle variations in email structure seamlessly and highly efficiently. These systems and methods are extendable to any domain using structured emails, and improve the efficiency of the systems that receive and act on information contained in emails.
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