18047683. INTERACTIVE EDITING OF A MACHINE-GENERATED DOCUMENT simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

INTERACTIVE EDITING OF A MACHINE-GENERATED DOCUMENT

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Steven I. Ross of S. Hamilton MA (US)

Stephanie Houde of Belmont MA (US)

Fernando Carlos Martinez of La Plata, (AR)

INTERACTIVE EDITING OF A MACHINE-GENERATED DOCUMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 18047683 titled 'INTERACTIVE EDITING OF A MACHINE-GENERATED DOCUMENT

Simplified Explanation

The abstract describes a method for interactive editing of a machine-generated document, where user edits are identified and suggestions for replacement tokens are provided to the user.

• Receiving a machine-generated document and comparing current and previous states.
• Identifying user edits based on the comparison.
• Generating a new version of the document with user-replaced tokens and suggested replacement token sequences.
• Creating a suggestion list for the user to view in a graphical user interface.

Potential Applications

This technology could be applied in various fields such as content generation, document editing, and automated writing assistance tools.

Problems Solved

This technology helps streamline the editing process for machine-generated documents, making it easier for users to make changes and improvements.

Benefits

The benefits of this technology include increased efficiency in editing machine-generated documents, improved user experience, and enhanced document quality.

Potential Commercial Applications

Potential commercial applications of this technology include content management systems, writing tools, and document automation software.

Possible Prior Art

One possible prior art could be existing document editing software that offers suggestions for word replacements based on user edits.

How does this technology handle complex user edits that involve multiple tokens or sequences?

The technology described in the abstract focuses on identifying and replacing user-replaced tokens, but it is unclear how it handles more complex edits involving multiple tokens or sequences.

What is the impact of user feedback on the accuracy of the suggested replacement token sequences?

The abstract mentions generating a suggestion list for the user, but it does not address how user feedback or corrections may impact the accuracy or relevance of the suggested replacement token sequences.

Original Abstract Submitted

Embodiments relate to interactive editing of a machine-generated document. A computer-implemented method includes receiving, by a processor, a machine-generated document and performing a comparison of a current state of the machine-generated document to a previous state. A user edit is identified as one or more user-replaced tokens of a previous token sequence based at least in part on the comparison. A new version of the machine-generated document is generated that includes the one or more user-replaced tokens and identifies one or more related tokens to replace with a suggested replacement token sequence associated with the one or more user-replaced tokens. A suggestion list is generated for display to the user in a graphical user interface to indicate the suggested replacement token sequence to replace the one or more related tokens.