International Business Machines Corporation
CONTEXTUAL DIAGRAM-TEXT ALIGNMENT THROUGH MACHINE LEARNING

Abstract:

Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the bilateral contextual alignment of textual material and associated diagrammatic matter. The system, computer program product, and method disclosed herein facilitate leveraging a trained cognitive system to understand textual and diagrammatic patterns established by a user, and to learn to draft and edit such textual material and associated diagrammatic matter based on user behavior and preferences. The cognitive system is trained to bilaterally translate between textual material and diagrammatic matter, where the cognitive system includes natural language processing (NLP) features, diagram analytics features, and one or more user profiles. Machine-drafting of a document is achieved through the trained cognitive system such that first textual material and first diagrammatic matter, including first pictorial objects and first diagrammatic textual matter, are bilaterally translated into second textual material and second diagrammatic matter, which are combined and contextually aligned.