公开(公告)号：US20200302350A1

公开(公告)日：2020-09-24

申请号：US16356643

申请日：2019-03-18

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Teng Sun ,  Ying Wei ,  Ting Yao Liu ,  Yuan Li ,  Qiang He

IPC: G06Q10/06 ,  G06Q50/00 ,  G06F17/27

Abstract: A method, computer system, and computer program product for NLP-based domain modeling are provided. The embodiment may include receiving, by a processor, a plurality of documents related to business requirements. The embodiment may also include parsing the received documents to extract business concepts based on sentence analysis utilizing an NLP technology. The embodiment may further include generating domain models based on the extracted business concepts. The embodiment may also include clustering the generated domain models into specific domains.

公开(公告)号：US20230244868A1

公开(公告)日：2023-08-03

申请号：US17589511

申请日：2022-01-31

Applicant: International Business Machines Corporation

Inventor： Zhong Fang Yuan ,  Tong Liu ,  Ting Yao Liu ,  Li Juan Gao ,  Hai Bo Zou

IPC: G06F40/279 ,  G06N3/08 ,  G06F40/117 ,  G06T11/00

CPC classification number: G06F40/279 ,  G06F40/117 ,  G06N3/08 ,  G06T11/001 ,  G06T2200/24

Abstract: An example operation may include one or more of executing a machine learning model on training data, where the training data comprises a plurality of word strings, identifying words within the training data that are extracted by the machine learning model during the executing, determining a color for the machine learning model based on the identified words and a predefined mapping of words to colors, and rendering, via a user interface, a label associated with the machine learning model in the determined color for the machine learning model.