Invention Grant
- Patent Title: Vector representation based on context
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Application No.: US16147812Application Date: 2018-09-30
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Publication No.: US11023682B2Publication Date: 2021-06-01
- Inventor: Ankur Tagra , Krishnendu Saha
- 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: Lieberman & Brandsdorfer, LLC
- Main IPC: G06F16/34
- IPC: G06F16/34 ; G06F40/30 ; G06F40/279 ; G06N20/00 ; G06F16/33

Abstract:
Embodiments relate to a system, program product, and method for use with an intelligent computer platform to create and apply textual data in vector format, and more specifically to apply context to the vector representation. Both context and document vectors are generated and assessed, with a calculated distance between the vectors corresponding to a weight. Word vectors are generated with associated word pairs and frequencies. A word vector generation model is trained. Utilization of the trained model generates one or more context sensitive word vector representations. A summarized sentence document is created and returned through application of the context sensitive word vectors.
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