US 12,423,337 B2
Context-based question generation from communication data
Srini Bhagavan, Dublin, CA (US); Prasanna Alur Mathada, Bangalore (IN); Shwetha Gopalakrishna, Banagalore (IN); and Hrishikesh Sujaya Kumar, Bangalore (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jan. 24, 2023, as Appl. No. 18/100,731.
Prior Publication US 2024/0248918 A1, Jul. 25, 2024
Int. Cl. G06F 16/3329 (2025.01); G06F 40/40 (2020.01)
CPC G06F 16/3329 (2019.01) [G06F 40/40 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
determining, by a processor set, context of text under study obtained from digital communications data generated by a computer application;
determining, by the processor set, a number of contextual switches of the text under study that indicates a size of the text under study;
generating, by the processor set, a text-based summary of the text under study using a natural language processing (NLP) tool based on keywords of a dynamic knowledge base and the determined number of contextual switches, the dynamic knowledge base being a database of keywords associated with a source of the digital communications data;
constructing, by the processor set, a question phrase in sentence form based on one or more statements in the text under study, wherein the one or more statements constitute an answer to the question phrase;
outputting, by the processor set, a question and answer set to a user interface associated with the computer application, the question and answer set including the question phrase and the one or more statements; and
automatically transmitting, by the processor set, the question and answer set to the dynamic knowledge base, thereby generating an updated dynamic knowledge base.