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US 2026/0288529 A1Published application
System
AssigneeSoftBank Group Corp.
InventorMayo YAMASAKI
Life of this patent
Estimating the term…
Abstract
A system includes a processor that is configured to receive an instruction from a user in natural language and analyze the instruction by using a generative artificial intelligence model, generate, based on the analyzed instruction, a prompt for instructing collection of information, collect the information, and organize the collected information, and recognize an emotion of the user and adjust at least one of a priority of a task and an execution method of the task based on the recognized emotion.
Claims20
A system comprising:
- circuitry configured to:
- receive a natural language instruction from a terminal apparatus via a packet-switched network;
- construct a first parameterized instruction sequence based on the natural language instruction, and provide the first parameterized instruction sequence to a generative neural network model to cause the generative neural network model to analyze the natural language instruction and generate structured task information representing a decomposed content of the natural language instruction;
- execute an information acquisition process based on acquisition conditions included in the structured task information, the information acquisition process including searching digital data stored in an information storage device via an application program interface and acquiring metadata and content data of the digital data;
- and
- organize the acquired digital data into a predetermined storage area in accordance with classification conditions included in the structured task information.
3 more elements
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, a natural language instruction from a terminal apparatus;
- construct a parameterized instruction sequence based on the natural language instruction, and provide the parameterized instruction sequence to a generative neural network model having a transformer-based architecture including a plurality of self-attention layers to generate structured task information;
- execute an information acquisition process based on the structured task information by querying information sources via application program interfaces to acquire digital data;
- organize the acquired digital data into a storage area according to classification conditions in the structured task information;
- extract content data from the organized digital data, construct a supplementary parameterized instruction sequence, and provide it to the generative neural network model to generate table-of-contents data;
- and
- estimate an emotional state of the entity and dynamically adjust task execution parameters based on the estimated emotional state.
5 more elements
A method performed by circuitry, the method comprising:
- receiving a natural language instruction from a terminal apparatus via a packet-switched network;
- constructing a first parameterized instruction sequence based on the natural language instruction, and providing the first parameterized instruction sequence to a generative neural network model to cause the generative neural network model to analyze the natural language instruction and generate structured task information representing a decomposed content of the natural language instruction;
- executing an information acquisition process based on acquisition conditions included in the structured task information, the information acquisition process including searching digital data stored in an information storage device via an application program interface and acquiring metadata and content data of the digital data;
- and
- organizing the acquired digital data into a predetermined storage area in accordance with classification conditions included in the structured task information.
2 more elements
Dependencies are inferred from the claim text.