	US 12,423,949 B2
	Knowledge driven pre-trained form key mapping
Souvik Kundu, Kirkland, WA (US); Jianwen Zhang, Shoreline, WA (US); Kaushik Chakrabarti, Bellevue, WA (US); Yuet Ching, Bellevue, WA (US); Leon Romaniuk, Snohomish, WA (US); Zheng Chen, Bellevue, WA (US); Cha Zhang, Bellevue, WA (US); Neta Haiby, Los Altos, CA (US); Vinod Kurpad, Bothell, WA (US); Anatoly Yevgenyevich Ponomarev, Sammamish, WA (US); Alexander T. Gorevski, Redmond, WA (US); and Mengya Hu, Redmond, WA (US)
Assigned to Microsoft Technology Licensing, LLC., Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Nov. 29, 2022, as Appl. No. 18/059,943.
Claims priority of provisional application 63/402,930, filed on Aug. 31, 2022.
Prior Publication US 2024/0071047 A1, Feb. 29, 2024
Int. Cl. G06V 10/764 (2022.01)

CPC G06V 10/764 (2022.01)

14 Claims

1. A computerized method comprising:

receiving a set of input key-value pairs associated with a form;

determining a subset of candidate form types from a set of form types using the set of input key-value pairs;

obtaining a set of standard keys associated with the determined subset of candidate form types;

generating a set of input key-standard key pairs using the set of input key-value pairs and the obtained set of standard keys;

narrowing the set of input key-standard key pairs using a narrowing rule;

generating ranking scores for each input key-standard key pair of the narrowed set of input key-standard key pairs using a trained model; and

mapping each input key of the set of input key-value pairs to a standard key of the set of standard keys using at least the generated ranking scores of the narrowed set of input key-standard key pairs.