公开(公告)号：US20200226325A1

公开(公告)日：2020-07-16

申请号：US16740066

申请日：2020-01-10

Applicant: Chevron U.S.A. Inc. ,  CALIFORNIA INSTITUTE OF TECHNOLOGY

Inventor： Asitang Mishra ,  Shuxing Cheng ,  Annie Didier ,  Chris Mattmann ,  Hamsa Shwetha Venkataram ,  Grant Lee ,  Wayne Moses Burke ,  Vishal Lall

IPC: G06F40/295 ,  G06N20/00 ,  G06F40/284 ,  G06F40/205

Abstract: A computer-implemented, machine learning-based method of converting an unstructured technical report into a structured technical report includes obtaining an unstructured technical report, tokenizing the unstructured technical report into an n-gram array, identifying and filtering non-interesting n-grams from the first n-gram array based on common language usage of the non-interesting n-grams and a determination that the non-interesting n-grams do not appear on a confirmed technical entity database, generating and displaying a technical entity candidate list from the filtered n-gram array, displaying, obtaining, from a pattern matching model and/or a graphical user interface, an indication that a technical entity candidate is a technical entity of interest, appending the technical entity of interest to the confirmed technical entity database, generating and displaying a structured technical report with the confirmed technical entities and corresponding technical entity value parameters, and iterating the process to refine the pattern matching model.

公开(公告)号：US11790170B2

公开(公告)日：2023-10-17

申请号：US16740066

申请日：2020-01-10

Applicant: Chevron U.S.A. Inc. ,  CALIFORNIA INSTITUTE OF TECHNOLOGY

Inventor： Asitang Mishra ,  Shuxing Cheng ,  Annie Didier ,  Chris Mattmann ,  Hamsa Shwetha Venkataram ,  Grant Lee ,  Wayne Moses Burke ,  Vishal Lall

IPC: G06F40/295 ,  G06N20/00 ,  G06F40/205 ,  G06F40/284 ,  G06F40/30

CPC classification number: G06F40/295 ,  G06F40/205 ,  G06F40/284 ,  G06N20/00 ,  G06F40/30

Abstract: A computer-implemented, machine learning-based method of converting an unstructured technical report into a structured technical report includes obtaining an unstructured technical report, tokenizing the unstructured technical report into an n-gram array, identifying and filtering non-interesting n-grams from the first n-gram array based on common language usage of the non-interesting n-grams and a determination that the non-interesting n-grams do not appear on a confirmed technical entity database, generating and displaying a technical entity candidate list from the filtered n-gram array, displaying, obtaining, from a pattern matching model and/or a graphical user interface, an indication that a technical entity candidate is a technical entity of interest, appending the technical entity of interest to the confirmed technical entity database, generating and displaying a structured technical report with the confirmed technical entities and corresponding technical entity value parameters, and iterating the process to refine the pattern matching model.