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US 2023/0418883 A1Published application
Systems and methods for document analysis to produce, consume and analyze content-by-example logs for documents
AssigneeOpen Text Holdings, Inc.
InventorsJeremy Garner Pickens, Andrew Nelson Bye, Thomas Chester Gricks, III
Life of this patent
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Abstract
Document analysis systems and methods for the generation of a content-by-example log that expresses withheld documents in terms of a set of disclosed documents are disclosed. Additionally, document analysis systems and methods for the analysis of such a content-by-example log to determine withheld documents of interest without access to those withheld documents are disclosed.
Claims21
A system for document analysis, comprising:
- a processor;
- a non-transitory computer readable medium, comprising instructions for:
- receiving, by a receiving party, a content-by-example log, the content-by-example log including an entry for each of a set of withheld documents inaccessible to the receiving party, wherein the entry for each withheld document associates an identifier for that withheld document with identifiers for a set of example documents for that withheld document, and the set of example documents are disclosed documents accessible to the receiving party;
- analyzing the content-by-example log to determine identifiers of withheld documents of interest by:
- creating a feature vector index based on the content-by-example log, wherein the feature vector index comprises a feature vector associated with each of the identifiers of the withheld documents, and the feature vector associated with the identifier for a withheld document comprises a set of features determined based on the identified set of example documents associated with that identified withheld document;
- and
- determining the identifiers of withheld documents of interest based on the feature vector index.
4 more elements
A method for document analysis, comprising:
- receiving, by a receiving party, a content-by-example log, the content-by-example log including an entry for each of a set of withheld documents inaccessible to the receiving party, wherein the entry for each withheld document associates an identifier for that withheld document with identifiers for a set of example documents for that withheld document, and the set of example documents are disclosed documents accessible to the receiving party;
- analyzing the content-by-example log to determine identifiers of withheld documents of interest by:
- creating a feature vector index based on the content-by-example log, wherein the feature vector index comprises a feature vector associated with each of the identifiers of the withheld documents, and the feature vector associated with the identifier for a withheld document comprises a set of features determined based on the identified set of example documents associated with that identified withheld document;
- and
- determining the identifiers of withheld documents of interest based on the feature vector index.
2 more elements
A non-transitory computer readable medium, comprising instructions for:
- receiving, by a receiving party, a content-by-example log, the content-by-example log including an entry for each of a set of withheld documents inaccessible to the receiving party, wherein the entry for each withheld document associates an identifier for that withheld document with identifiers for a set of example documents for that withheld document, and the set of example documents are disclosed documents accessible to the receiving party;
- analyzing the content-by-example log to determine identifiers of withheld documents of interest by:
- creating a feature vector index based on the content-by-example log, wherein the feature vector index comprises a feature vector associated with each of the identifiers of the withheld documents, and the feature vector associated with the identifier for a withheld document comprises a set of features determined based on the identified set of example documents associated with that identified withheld document;
- and
- determining the identifiers of withheld documents of interest based on the feature vector index.
2 more elements
Dependencies are inferred from the claim text.