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US 2026/0228520 A1Published application
Attention generation device, attention generation method, and recording medium
AssigneeNEC Corporation
InventorsKoji OKABE, Tetsuya UEDA
Life of this patent
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Abstract
Attention, which is a weight coefficient for each part of input data, is calculated for each part of output data for the generation of the part of output data. Furthermore, the device corrects an object attention, which is an attention for generating the part to be generated among the parts of the output data, on the basis of the attention for generating the part that has already been generated among the parts of the output data.
Claims6
An attention generation device comprising:
- a memory storing instructions;
- and
- a processor connected to the memory and configured to execute the instructions to:
- calculate an attention, which is a weight coefficient for each part of input data, for generating a part of output data for each part of the output data;
- and
- correct an object attention, which is an attention for generating a part to be generated among the parts of the output data, based on an attention for generating a part that has already been generated among the parts of the output data.
3 more elements
An attention generation method for causing a computer to execute:
- calculating an attention, which is a weight coefficient for each part of input data, for generating a part of output data for each part of the output data;
- and
- correcting an object attention, which is an attention for generating a part to be generated among the parts of the output data, based on an attention for generating a part that has already been generated among the parts of the output data.
A recording medium storing a program for causing the computer to execute:
- calculating an attention, which is a weight coefficient for each part of input data, for generating a part of output data for each part of the output data;
- and
- correcting an object attention, which is an attention for generating a part to be generated among the parts of the output data, based on an attention for generating a part that has already been generated among the parts of the output data.
Dependencies are inferred from the claim text.