US 12,405,986 B2
Efficient content extraction from unstructured dialog text
Yun Huang, Champaign, IL (US); and Yiren Liu, Champaign, IL (US)
Assigned to The Board of Trustees of the University of Illinois, Urbana, IL (US)
Filed by The Board of Trustees of the University of Illinois, Urbana, IL (US)
Filed on Apr. 4, 2024, as Appl. No. 18/627,097.
Claims priority of provisional application 63/457,292, filed on Apr. 5, 2023.
Prior Publication US 2024/0338398 A1, Oct. 10, 2024
Int. Cl. G06F 7/00 (2006.01); G06F 16/334 (2025.01); G06F 16/335 (2019.01); G06N 20/00 (2019.01)
CPC G06F 16/337 (2019.01) [G06F 16/3344 (2019.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving initial text from a user;
applying the initial text to a classifier to select, from an enumerated set of incident types, a session incident type, wherein the session incident type is associated with a set of session incident properties;
applying the initial text and an indication of the set of session incident properties to a machine learning model to generate a value for a session incident property of the set of session incident properties;
based on the session incident property, selecting, from a list of queries, a query about a further session incident property whose value has not yet been generated by the machine learning model in relation to the initial text;
providing the query to the user;
receiving additional text from the user in response to the query; and
applying the additional text and the indication of the set of session incident properties to the machine learning model to generate an additional value for an additional session incident property of the set of session incident properties.