US 11,748,562 B2
Selective deep parsing of natural language content
Robert C. Sizemore, Fuquay-Varina, NC (US); David B. Werts, Charlotte, NC (US); and Sterling R. Smith, Apex, NC (US)
Filed by Merative US L.P., Ann Arbor, MI (US)
Filed on Jun. 28, 2022, as Appl. No. 17/851,584.
Application 17/851,584 is a continuation of application No. 17/375,106, filed on Jul. 14, 2021, granted, now 11,449,675.
Application 17/375,106 is a continuation of application No. 16/576,906, filed on Sep. 20, 2019, granted, now 11,120,216, issued on Sep. 14, 2021.
Prior Publication US 2022/0335215 A1, Oct. 20, 2022
Int. Cl. G06F 40/205 (2020.01); G06F 40/14 (2020.01); G06F 40/279 (2020.01)
CPC G06F 40/205 (2020.01) [G06F 40/14 (2020.01); G06F 40/279 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
configuring a targeted deep parse natural language processing (NLP) system to recognize a plurality of triggers, wherein the triggers are elements within natural language content that indicate content that is to be targeted with a deep parse operation, wherein the targeted deep parse NLP system is configured, for each trigger, with a corresponding granularity of a corresponding targeted sub-portion of the natural language content to perform a deep parse in response to detecting the trigger in the natural language content, and wherein at least two triggers in the plurality of triggers have different granularities;
performing, by the targeted deep parse NLP system, a pre-deep parse scan operation of a portion of natural language content, from a corpus of natural language content, based on the plurality of triggers to identify one or more sub-portions of the portion of natural language content that contain at least one of the triggers; and
performing, by the targeted deep parse NLP system, a NLP operation comprising a deep parse of only the one or more sub-portions of the portion of natural language content that contain at least one of the triggers, while other sub-portions of the portion of natural language content are not deep parsed, wherein the targeted deep parse NLP system is configured with configuration information associated with a plurality of annotators, selected from a library of annotators, that are enabled in a cognitive computing system downstream of the targeted deep parse NLP system, wherein the configuration information specifies triggers, in the plurality of triggers, for each of the plurality of annotators, and wherein at least two of the annotators in the plurality of annotators have different associated triggers.