Invention Grant
- Patent Title: Method and system for language and domain acceleration with embedding evaluation
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Application No.: US16422145Application Date: 2019-05-24
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Publication No.: US11222176B2Publication Date: 2022-01-11
- Inventor: Xiaotong Liu , Anbang Xu , Yingbei Tong , Rama Kalyani T. Akkiraju
- 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: Terrile, Cannatti & Chambers, LLP
- Agent Michael Rocco Cannatti
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F40/263 ; G06N20/00

Abstract:
A method, system and a computer program product are provided for generating a natural language model that is substantially independent of languages and domains by transforming monolingual embeddings into a multilingual embeddings in a first shared embedding space using a cross-lingual learning process, and then transforming the multilingual embeddings into cross-domain, multilingual embeddings in a second shared embedding space using a cross-domain learning process, where the multilingual embeddings and/or cross-domain, multilingual embeddings are evaluated to measure a degree to which the embeddings associate a set of target concepts with a set of attribute words.
Public/Granted literature
- US20200372106A1 Method and System for Language and Domain Acceleration with Embedding Evaluation Public/Granted day:2020-11-26
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