US 12,243,653 B1
Generating structured data records using an extraction neural network
Zachary Michael Ziegler, Cambridge, MA (US); Jonas Sebastian Wulff, Glendale, CA (US); Evan Hernandez, Wimauma, FL (US); and Daniel Joseph Nadler, Nassau (BS)
Assigned to Xyla Inc., Wilmington, DE (US)
Filed by Xyla Inc., Wilmington, DE (US)
Filed on Aug. 20, 2024, as Appl. No. 18/810,153.
Application 18/810,153 is a continuation of application No. 18/219,027, filed on Jul. 6, 2023.
Claims priority of provisional application 63/368,434, filed on Jul. 14, 2022.
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 50/70 (2018.01); G06F 16/30 (2019.01); G06F 16/35 (2025.01); G06F 40/10 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G16H 10/20 (2018.01)
CPC G16H 50/70 (2018.01) [G06F 16/30 (2019.01); G06F 16/35 (2019.01); G06F 40/10 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G16H 10/20 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method performed by one or more computers, the method comprising:
obtaining an input text sequence;
processing the input text sequence using an extraction neural network, in accordance with a set of extraction neural network parameters, to generate a corresponding output text sequence, wherein for each semantic category in a predefined schema of semantic categories:
the output text sequence includes delimiters that designate a respective text string from the output text sequence as being included in the semantic category; and
the text string from the output text sequence that is designated as being included in the semantic category expresses information from the input text sequence that is relevant to the semantic category; and
processing the output text sequence to generate a structured data record that defines a structured representation of information in the input text sequence with reference to the predefined schema of semantic categories.