Loading patent…
AssigneeUnitedHealth Group Incorporated
InventorsRajesh SABAPATHY, Chirag MITTAL, Gourav AWASTHI, Aditya Teja JOSYULA
Estimating the term…
There is a need for more effective, efficient, and accurate computer text comprehension. This need is addressed by applying unique text processing techniques to identify and remove irrelevant sentences from a narrative. The text processing techniques include a machine-learning based model that is trained using automatically generated training data that is tailored to a particular circumstance. A method for machine narrative comprehension includes receiving a narrative data object comprising one or more sentences; determining, using a machine-learning based irrelevant classifier model, a relevance of at least one of the one or more sentences; responsive to a determination that at least one sentence is irrelevant, generating a pertinent summary by removing the at least one sentence from the narrative; and generating, based at least in part on the pertinent summary, an output indicia data object for the narrative data object.
A computer-implemented method for machine narrative comprehension, the computer-implemented method comprising:
An apparatus for machine narrative comprehension, the apparatus comprising at least one processor and at least one memory including program code, the at least one memory and the program code configured to, with the processor, cause the apparatus to at least:
A computer program product for machine narrative comprehension, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:
Dependencies are inferred from the claim text.