- Patent Title: Natural language document summarization using hyperbolic embeddings
-
Application No.: US16212194Application Date: 2018-12-06
-
Publication No.: US10885281B2Publication Date: 2021-01-05
- Inventor: Anastas Stoyanovsky , Steven M. Pritko , Robert L. Yates , Angela Swindell , Adilakshmi Veerubhotla
- 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
- Agent Francis Lammes; Stephen J. Walder, Jr.; Ingrid M. Foerster
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F40/30 ; G06F40/205

Abstract:
A mechanism is provided to implement a summarization mechanism for summarizing an identified natural language document using hyperbolic embeddings. Responsive to receiving a query from a user for a summarization of the identified natural language document, the summarization mechanism produces a hyperbolic embedding model of embeddings of the query. The summarization mechanism compares the embeddings of the query to each of a set of embeddings associated with a set of sentences of the identified natural language document. Responsive to identifying a subset of embeddings associated with the set of sentences of the identified natural language document having a semantic specificity to a subset of embeddings associated with the query, the summarization mechanism adds the sentence to a summary of the identified natural language document. The summarization mechanism then outputs the summary to the user.
Public/Granted literature
- US20200184012A1 Natural Language Document Summarization Using Hyperbolic Embeddings Public/Granted day:2020-06-11
Information query