Natural Language Document Summarization Using Hyperbolic Embeddings

Patent №

US 10,885,281

Granted

2021-01-05

Filed 2018

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16212194

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.

AI classification

Natural language1.00
Knowledge representation1.00
Speech1.00
Machine learning1.00
Planning1.00
AI hardware0.98
Vision0.23
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 476970733

Assignors

STOYANOVSKY, ANASTAS, PRITKO, STEVEN M., YATES, ROBERT L., SWINDELL, ANGELA, VEERUBHOTLA, ADILAKSHMI

On an employer assignment, the assignors are typically the inventors.

From the same owner

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