US 11,657,231 B2
Capturing rich response relationships with small-data neural networks
John Hewitt, Philadelphia, PA (US)
Assigned to Qualtrics, LLC, Provo, UT (US)
Filed by QUALTRICS, LLC, Provo, UT (US)
Filed on Jun. 29, 2020, as Appl. No. 16/915,758.
Application 16/915,758 is a continuation of application No. 16/521,209, filed on Jul. 24, 2019, granted, now 10,699,080.
Application 16/521,209 is a continuation of application No. 15/841,963, filed on Dec. 14, 2017, granted, now 10,380,260, issued on Aug. 13, 2019.
Prior Publication US 2020/0342177 A1, Oct. 29, 2020
Int. Cl. G06F 40/30 (2020.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01); G06F 40/205 (2020.01); G06F 40/216 (2020.01); G06F 40/253 (2020.01); G06F 40/268 (2020.01); G06F 40/284 (2020.01)
CPC G06F 40/30 (2020.01) [G06F 40/205 (2020.01); G06F 40/216 (2020.01); G06F 40/253 (2020.01); G06F 40/268 (2020.01); G06F 40/284 (2020.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
at least one processor; and
at least one non-transitory computer-readable storage medium storing instructions that, when executed by the at least one processor, cause the system to:
analyze a plurality of input sentences to determine a classification label for each word within each input sentence of the plurality of input sentences utilizing a word-agnostic classifier;
identify input sentences from the plurality of input sentences associated with a first classification label; and
provide, for display within a graphical user interface, the input sentences based on the input sentences being associated with the first classification label.