US 12,001,896 B2
Unsupervised event extraction
Rajarshi Haldar, Champaign, IL (US); Yu Deng, Yorktown Heights, NY (US); Lingfei Wu, Elmsford, NY (US); Ruchi Mahindru, Elmsford, NY (US); and Shu Tao, Irvington, NY (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Apr. 6, 2023, as Appl. No. 18/296,777.
Application 18/296,777 is a continuation of application No. 16/880,556, filed on May 21, 2020, granted, now 11,687,385.
Prior Publication US 2023/0244555 A1, Aug. 3, 2023
Int. Cl. G06F 9/44 (2018.01); G06F 9/54 (2006.01); G06F 16/35 (2019.01); G06F 16/38 (2019.01); G06F 16/901 (2019.01); G06F 40/205 (2020.01); G06N 3/088 (2023.01); G06N 20/00 (2019.01)
CPC G06F 9/542 (2013.01) [G06F 16/35 (2019.01); G06F 16/38 (2019.01); G06F 16/9024 (2019.01); G06F 40/205 (2020.01); G06N 3/088 (2013.01); G06N 20/00 (2019.01)] 25 Claims
OG exemplary drawing
 
1. A system, comprising:
a memory that stores computer executable components;
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a parsing component that identifies event components included in an unstructured text query using one or more unsupervised machine learning processes; and
an event extraction component that generates structured event information defining one or more events represented in the unstructured text query based on the event components.