Transmforming table-to-text using agglomerative clustering
AssigneeInternational Business Machines Corporation
InventorKunal Sawarkar
Life of this patent
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Abstract
A method and system of generating inferential text are provided. The method includes ingesting a data set that includes at least one structured hierarchical or multidimensional table for a particular domain. The method includes processing the ingested data set that includes the at least one structured hierarchical or multidimensional table for the particular domain by applying a generated machine learning model. The method includes generating inferential natural language text based on applying the machine learning model. The method includes outputting the generated inferential natural language text in a sequence format.
Claims20
A method, comprising:
- ingesting, by a computing system, a data set that includes at least one structured hierarchical or multidimensional table for a particular domain;
- processing, by the computing system, the ingested data set that includes the at least one structured hierarchical or multidimensional table for the particular domain by applying a generated machine learning model;
- generating, by the computing system, inferential natural language text based on applying the machine learning model;
- and
- outputting, by the computing system, the generated inferential natural language text in a sequence format.
A computing system comprising:
- a processor;
- a storage device coupled to the processor;
- program instructions stored in the storage device, wherein an execution of the instructions by the processor configures the processor to perform acts comprising:
- ingesting, by the processor, a data set that includes at least one structured hierarchical or multidimensional table for a particular domain;
- processing the ingested data set that includes the at least one structured hierarchical or multidimensional table for the particular domain by applying a generated machine learning model;
- generating inferential natural language text based on applying the machine learning model;
- and
- outputting the generated inferential natural language text in a sequence format.
A computer program product comprising:
- one or more non-transitory computer-readable storage devices and program instructions stored on at least one of the one or more non-transitory storage devices, the program instructions executable by a processor, the program instructions comprising instructions to:
- ingest, by the processor, a data set that includes at least one structured hierarchical or multidimensional table for a particular domain;
- process the ingested data set that includes the at least one structured hierarchical or multidimensional table for the particular domain by applying a generated machine learning model;
- generate an inferential natural language text based on applying the machine learning model;
- and
- output the generated inferential natural language text in a sequence format.
Dependencies are inferred from the claim text.