Invention Grant
- Patent Title: Hierarchical relationship extraction
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Application No.: US17268124Application Date: 2019-09-26
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Publication No.: US11886822B2Publication Date: 2024-01-30
- Inventor: Paidi Creed , Aaron Jefferson Khey Jin Sim
- Applicant: BENEVOLENTAI TECHNOLOGY LIMITED
- Applicant Address: GB London
- Assignee: BenevolentAI Technology Limited
- Current Assignee: BenevolentAI Technology Limited
- Current Assignee Address: GB London
- Agency: Smith Baluch LLP
- Priority: GB 15664 2018.09.26
- International Application: PCT/GB2019/052721 2019.09.26
- International Announcement: WO2020/065326A 2020.04.02
- Date entered country: 2021-02-12
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F16/35 ; G06N20/00 ; G06F40/279 ; G06F40/237

Abstract:
Methods, apparatus, system and computer-implemented method are provided for embedding a portion of text describing one or more entities of interest and a relationship. The portion of text describes a relationship for the one or more entity(ies) of interest, where the portion of text includes multiple separable entities describing the relationship and the entity(ies). The multiple separable entities including the one or more entity(ies) of interest and one or more relationship entity(ies). A set of embeddings for each of the separable entities is generated, where the set of embeddings for a separable entity includes an embedding for the separable entity and an embedding for at least one entity associated with the separable entity. One or more composite embeddings may be formed based on at least one embedding from each of the sets of embeddings. The composite embedding(s) may be sent for input to a machine learning model or classifier.
Public/Granted literature
- US20210312134A1 HIERARCHICAL RELATIONSHIP EXTRACTION Public/Granted day:2021-10-07
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