Adaptive learning of actionable statements in natural language conversation
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United States of America Patent
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Feb 27, 2018
Issued Date -
N/A
app pub date -
Jan 13, 2016
filing date -
Jan 13, 2016
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Abstract
Identifying actionable statements in communications may include: extracting features from at least one training statement; training a pattern recognition module to identify one or more types of patterns in actionable statements based at least in part on the features; and generating an actionable statement identification model using the trained action verb module and the trained pattern recognition module. Identifying actionable statements in communications is preferably adaptive in a continuous manner (e.g. based on user feedback), and may also include: determining whether a statement includes an actionable statement; predicting an actionable statement class of the actionable statement based on a pattern represented in the statement; and outputting the predicted actionable statement class to a user. Corresponding systems and computer program products are also disclosed.
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