	US 12,265,567 B2
	Artificial intelligence assisted originality evaluator
Yinghao Ma, Potomac, MD (US); Chengmin Jiang, Potomac, MD (US); Sonja Krane, Blue Bell, PA (US); Jofia Jose Prakash, Aldie, VA (US); Utpal Tejookaya, Springfield, VA (US); Jeroen Van Prooijen, Fairfax, VA (US); Jonathan Hansford, Burke, VA (US); Jinglei Li, Falls Church, VA (US); and Wallace Scott, Fairfax Station, VA (US)
Assigned to American Chemical Society, Washington, DC (US)
Filed by American Chemical Society, Washington, DC (US)
Filed on Apr. 29, 2022, as Appl. No. 17/733,351.
Claims priority of provisional application 63/181,560, filed on Apr. 29, 2021.
Prior Publication US 2022/0350828 A1, Nov. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/33 (2025.01); G06F 16/31 (2019.01); G06F 16/334 (2025.01)

CPC G06F 16/3347 (2019.01) [G06F 16/328 (2019.01)]

24 Claims

1. A method comprising:

converting each structured text document stored in a database into one or more vectors, each structured text document in the database having a title, an abstract, and an author;

using the vectors of the structured text documents stored in a database to create one or more similarity search index;

for each structured text document from the database, searching the search index using the one or more vectors of the structured text document;

for each structured text document from the database, generating a list of at least N other structured text documents from the database similar to the structured text document based on said search, wherein N equals 50; and

storing each list of at least N other structured text documents from the database similar to the structured text document in a table.