Invention Grant
- Patent Title: Joint embedding of corpus pairs for domain mapping
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Application No.: US16591100Application Date: 2019-10-02
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Publication No.: US11436487B2Publication Date: 2022-09-06
- Inventor: Ashish Jagmohan , Elham Khabiri , Richard B. Segal , Roman Vaculin
- 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: Amin, Turocy & Watson, LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N3/08 ; G06F40/30 ; G06F16/36

Abstract:
Techniques for outside-in mapping for corpus pairs are provided. In one example, a computer-implemented method comprises: inputting first keywords associated with a first domain corpus; extracting a first keyword of the first keywords; inputting second keywords associated with a second domain corpus; generating an embedded representation of the first keyword via a trained model and generating an embedded representation of the second keywords via the trained model; and scoring a joint embedding affinity associated with a joint embedding. The scoring the joint embedding affinity comprises: transforming the embedded representation of the first keyword and the embedded representation of the second keywords via the trained model; determining an affinity value based on comparing the first keyword to the second keywords; and based on the affinity value, aggregating the joint embedding of the embedded representation of the first keyword and the embedded representation of the second keywords within the second domain corpus.
Public/Granted literature
- US20200034741A1 JOINT EMBEDDING OF CORPUS PAIRS FOR DOMAIN MAPPING Public/Granted day:2020-01-30
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