Invention Grant
- Patent Title: Infusing knowledge into natural language processing tasks using graph structures
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Application No.: US16814830Application Date: 2020-03-10
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Publication No.: US11429876B2Publication Date: 2022-08-30
- Inventor: Pavan Kapanipathi Bangalore , Kartik Talamadupula , Veronika Thost , Siva Sankalp Patel , Ibrahim Abdelaziz , Avinash Balakrishnan , Maria Chang , Kshitij Fadnis , Chulaka Gunasekara , Bassem Makni , Nicholas Mattei , Achille Belly Fokoue-Nkoutche
- 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: Sherman IP LLP
- Agent Kenneth L. Sherman; Hemavathy Perumal
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06F40/40

Abstract:
One embodiment of the invention provides a method for natural language processing (NLP). The method comprises extracting knowledge outside of text content of a NLP instance by extracting a set of subgraphs from a knowledge graph associated with the text content. The set of subgraphs comprises the knowledge. The method further comprises encoding the knowledge with the text content into a fixed size graph representation by filtering and encoding the set of subgraphs. The method further comprises applying a text embedding algorithm to the text content to generate a fixed size text representation, and classifying the text content based on the fixed size graph representation and the fixed size text representation.
Public/Granted literature
- US20210287103A1 INFUSING KNOWLEDGE INTO NATURAL LANGUAGE PROCESSING TASKS USING GRAPH STRUCTURES Public/Granted day:2021-09-16
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