Amazon patents method to add context to spoken language processing
Amazon has been granted a patent for a system that creates a detailed digital profile for specific words or phrases used in voice interactions. The system gathers extra information, such as how the word is typically used or how it sounds, and combines this with the word itself to create a single data point. This combined data helps the system understand user commands better by looking at the word in its proper context rather than in isolation.
In the filing’s own words
Techniques for generating a multi-modal, context aware embedded representation of an entity and contextual data associated with the entity are described. The system may receive a natural language entity for which an embedded representation is to be generated. The system uses the natural language entity to determine/generate various context data associated with the entity (e.g., slot type, usage example, phonemes, audio data, image/video data, etc.). The system may tokenize and encode the natural language entity and the context data. Thereafter, the encoded entity and the context data may be inputted to a language model, which generates a single embedded representation corresponding to the entity and the context data. Thereafter, the embedded representation may be used by a system component for performing processing with respect to a user input.
What exactly they claim (claim 1)
1. A computer-implemented method, comprising: receiving first natural language data corresponding to an entity; determining first context data associated with the entity, the first context data corresponding to second natural language data representing a first example usage of the entity within at least one phrase; processing, using a first machine learning (ML) model, the first natural language data and the first context data to generate first embedding data corresponding to the entity and the first context data, wherein the first embedding data represents a first contextual relationship between the entity and the first context data; storing the first embedding data in a data store; receiving first input data corresponding to a first user input provided to an input component, wherein the first user input is provided to the input component after the first embedding data has been stored in the data store; following receipt of the first input data, retrieving the first embedding data from the data store; determining, using the first input data and the first embedding data retrieved from the data store, first data; processing the first data to generate first output data responsive to the first user input; and causing presentation of the first output data.
Facts
- Company
- Amazon (Amazon Technologies, Inc.)
- Official title
- Contextual information for spoken language processing
- Patent number
- US12744033B1
- Application number
- 18521526
- Filed
- Nov 28, 2023
- Granted
- Sep 22, 2026
- Inventors
- 8
- Claims
- 20
Classified under
G10L 15/187 Physics & computingG10L 15/22 Physics & computingMore from Amazon in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.