Google patents method to pull specific data from web pages
This patent describes a computer model that reads web pages and other digital documents to find specific pieces of information. It uses a technique called attention to link different parts of the text, such as labels and content, to accurately identify and save specific data fields.
In the filing’s own words
The technology provides a rich attention mechanism for structured information extraction of web pages and other electronic documents. An input layer of a model obtains system, information associated with the document, including field tokens representing respective fields to be extracted from the document, structured document type tokens associated, and text tokens from a text sequence in the document. An encoder connects the field tokens, the S type tokens and the text tokens according to a set of different attention patterns. The encoder generates an overall token representation based on the set of different attention patterns. An output layer of the model extracts a final text span for the each of the respective fields from the set of text tokens. The extracted final text span for each of the respective fields is stored in memory, and can be produced in response to a search query, analytics evaluation or other request.
What exactly they claim (claim 1)
1. A method for structured information extraction from electronic documents, the method comprising: encoding, by at least one processor, a plurality of different sets of multimodal document tokens from an input sequence with corresponding sets of attention patterns, the input sequence being associated with a structured electronic document and wherein the multimodal document tokens are based on different data structures in the structured electronic document; generating, by the at least one processor, an overall token representation based on the multimodal document tokens, wherein the overall token representation represents embeddings for each of the different data structures; extracting, by the at least one processor, a text span for respective fields in the structured electronic document; and storing, by the at least one processor, the extracted text span for each of the respective fields, the extracted text span for each of the respective fields being configured for production in response to a request.
Facts
- Company
- Google (Google LLC)
- Official title
- Web page transformer for structure information extraction
- Patent number
- US12730846B2
- Application number
- 19012342
- Filed
- Jan 7, 2025
- Granted
- Sep 8, 2026
- Inventors
- 2
- Claims
- 20
Classified under
G06F 16/951 Physics & computingG06F 16/80 Physics & computingMore from Google 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.