Invention Grant
- Patent Title: Bias detection for unstructured text
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Application No.: US16384605Application Date: 2019-04-15
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Publication No.: US11551102B2Publication Date: 2023-01-10
- Inventor: Pranay Kumar Lohia , Rajmohan Chandrahasan , Himanshu Gupta , Samiulla Zakir Hussain Shaikh , Sameep Mehta , Atul Kumar
- 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: Ference & Associates LLC
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06F16/31 ; G06Q10/10 ; G06F9/445

Abstract:
One embodiment provides a method, including: receiving a target unstructured document for determining whether the target unstructured document comprises biased information; identifying an objective of the target unstructured document by extracting, from the target unstructured document, (i) entities and (ii) relationships between the entities; creating a structured knowledge base, wherein the creating comprises (i) creating an entry in the structured knowledge base corresponding to the target unstructured document, (ii) identifying other unstructured documents having a similarity to the target unstructured document, and (iii) generating an entry in the structured knowledge base corresponding to each of the other unstructured documents; applying a bias detection technique on the structured knowledge base; and providing an indication of whether the target unstructured document comprises bias.
Public/Granted literature
- US20200327424A1 BIAS DETECTION FOR UNSTRUCTURED TEXT Public/Granted day:2020-10-15
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