Invention Grant
- Patent Title: Converting unstructured computer text to domain-specific groups using graph datastructures
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Application No.: US17177620Application Date: 2021-02-17
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Publication No.: US11748453B2Publication Date: 2023-09-05
- Inventor: Yi-Hui Ma , Iman Johari , Vyoma Gajjar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Stosch Sabo
- Main IPC: G06F40/20
- IPC: G06F40/20 ; G06F40/211 ; G06F40/30 ; G06F18/20 ; G06F18/2135 ; G06F18/23213 ; G06F18/24 ; G06F18/2413 ; G06F40/205 ; G06N20/00 ; G06F18/22 ; G06F18/23

Abstract:
Technical solutions are described for improving the performance of natural language processing systems and other such human-computer interaction systems by facilitating analyzing unstructured computer text by converting such unstructured computer text to domain-specific groups using network graphs. The technical solutions use a graph to connect similar terms with attributes and structural information to facilitate the grouping of different terms that may be used to describe the same entity. Technical solutions facilitate analyzing different input data to generate a graph that can be further used to find data similarity in the input data. The generated graph captures attributes associated with each term and assigns groupings for all the terms at the same time, improving the performance of the natural language processing (NLP) system that is analyzing the input data.
Public/Granted literature
- US20220261602A1 CONVERTING UNSTRUCTURED COMPUTER TEXT TO DOMAIN-SPECIFIC GROUPS USING GRAPH DATASTRUCTURES Public/Granted day:2022-08-18
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