Inventors:
- Burbank CA, US
Monica Alfaro Vendrell - Barcelona, ES
Marcel Porta Valles - Balaguer, ES
Pablo Pernias - Sant Joan D’Alacant, ES
Marc Junyet Martin - Barcelona, ES
Melina Ovanessian - La Crescenta CA, US
Anthony M. Accardo - Los Angeles CA, US
Mara Idai Lucien - Los Angeles CA, US
International Classification:
G06F 16/28
G06F 16/2457
G06N 20/00
Abstract:
According to one implementation, a system includes a computing platform having processing hardware, a system memory storing a software code; and a machine learning model based classifier. The processing hardware is configured to execute the software code to receive tagging quality assurance (QA) data including multiple terms applied as tags and corrections to those tags, to identify, using the tagging QA data, a first problematic term, and to classify, using the machine learning model based classifier, the first problematic term as one of confusing or flawed. The processing hardware is further configured to execute the software code to obtain, when the first problematic term is classified as confusing, a comparative sample for clarifying use of the first problematic term, and to obtain, when the first problematic term is classified as flawed, modification data for editing a predetermined annotation taxonomy including the first problematic term.
