Natural language document summarization using hyperbolic embeddings

A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the data processing system to implement a summarization mechanism for summarizing an identified natural language document using hyperbolic embeddings, and further causes the computing device to:

• responsive to receiving a query from a user for a summarization of the identified natural language document, produce, by the summarization mechanism, a hyperbolic embedding model of first embeddings of the query;
• compare, by the summarization mechanism, the first embeddings to each second embedding of a set of second embeddings associated with a set of sentences of the identified natural language document;
• for at least one second embedding of at least one portion of a sentence in the set of sentences, determining, by the summarization mechanism, whether the at least one second embedding has a semantic specificity to at least one first embedding equal to or above a specificity threshold, wherein the specificity threshold is a number of matches between second embeddings and first embeddings;
• responsive to the at least one second embedding having a semantic specificity equal to or above the specificity threshold, add, by the summarization mechanism, the sentence to a summary of the identified natural language document;
• and
• output, by the summarization mechanism, the summary to the user.

An apparatus comprising:

• at least one processor;
• and
• at least one memory coupled to the at least one processor, wherein the at least one memory comprises instructions which, when executed by the at least one processor, cause the at least one processor to implement a summarization mechanism for summarizing an identified natural language document using hyperbolic embeddings, and further cause the at least one processor to:
• responsive to receiving a query from a user for a summarization of the identified natural language document, produce, by the summarization mechanism, a hyperbolic embedding model of first embeddings of the query;
• compare, by the summarization mechanism, the first embeddings to each second embedding of a set of second embeddings associated with a set of sentences of the identified natural language document;
• for at least one second embedding of at least one portion of a sentence in the set of sentences, determining, by the summarization mechanism, whether the at least one second embedding has a semantic specificity to at least one first embedding equal to or above a specificity threshold, wherein the specificity threshold is a number of matches between second embeddings and first embeddings;
• responsive to the at least one second embedding having a semantic specificity equal to or above the specificity threshold, add, by the summarization mechanism, the sentence to a summary of the identified natural language document;
• and
• output, by the summarization mechanism, the summary to the user.