Systems and methods for generating attribution information
AssigneeAdobe Inc.
InventorsPuneet Mathur, Nedim Lipka, Alexa Siu, Verena Kaynig-Fittkau, Tong Sun, Rohit Ramaprasad, Roshan Santhosh
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Abstract
A method, apparatus, non-transitory computer readable medium, and system for data processing includes obtaining a data store and input text, where the data store includes data and the input text describes the data, generating a description of a structural element of the data, and generating attribution information for the input text based on the description of the structural element.
Claims20
A method for data processing, comprising:
- obtaining a data store and input text, wherein the data store includes data and the input text describes the data;
- generating, using a language generation model, a description of a structural element of the data;
- and
- generating, using the language generation model, attribution information for the input text based on the description of the structural element.
A non-transitory computer readable medium storing code for data processing, the code comprising instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
- obtaining a data store and input text, wherein the data store includes data and the input text describes the data;
- converting the data store based on a table format to obtain a data table;
- generating, using a language generation model, a description of the data table;
- and
- generating, using the language generation model, attribution information for the input text based on the description of the data table.
A system comprising:
- a memory component;
- and
- a processing device coupled to the memory component, the processing device configured to perform operations comprising:
- obtaining a data store and input text, wherein the data store includes data and the input text describes the data;
- generating, using a language generation model, a description of a structural element of the data;
- and
- generating, using the language generation model, attribution information for the input text based on the description of the structural element.
Dependencies are inferred from the claim text.