公开(公告)号：US20220300712A1

公开(公告)日：2022-09-22

申请号：US17209174

申请日：2021-03-22

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Suparna BHATTACHARYA ,  Mayukh DUTTA ,  Manoj SRIVATSAV ,  Sergey SEREBRYAKOV

IPC: G06F40/30 ,  G06N5/04 ,  G06N20/00 ,  G06F40/295 ,  G06T11/20

Abstract: Artificial-intelligence (AI)-based question-answer (QA) trace analysis of a text corpus that identifies answers to a natural language question and assesses the manner in which those answers evolve over time based on associated context is described herein. A set of QA trace records can be generated that includes a collection of answers derived from a text corpus in response to a posed natural language question along with contextual information relating to the answers. The set of QA trace records can be ordered based on corresponding date attributes gleaned from the contextual information to produce a time-series of QA trace records that can be processed by various types of downstream processing. Such downstream processing can include data visualization, pattern recognition, or the like for assessing how an answer to a natural language question evolves over time, identifying patterns/trends that develop over time with respect to the set of answers, and so forth.