Amazon technologies, inc. (20250021602). ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION
ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION
Organization Name
Inventor(s)
Shrikant G Nayak of Karnataka IN
Sathya Prakash Podila Venkata Subramanya of Karnataka IN
Vijay Daniel Manason of Karnataka IN
Valluri Subbanna Chowdary of Karnataka IN
ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION
This abstract first appeared for US patent application 20250021602 titled 'ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION
Original Abstract Submitted
results of applying a set of voting rules to a target corpus of documents are used to obtain a set of derived probabilistic labels indicating the probabilities of the presence of a particular attribute within the documents' constituent objects. a machine learning model is trained to identify a candidate portion of a document from which a value of the attribute is to be extracted. the training data for the model includes learned representations obtained from paths of constituent objects, and the corresponding derived labels. a proposed value for the attribute, obtained based on an assigned attribute value presence probability score for an individual constituent object from a selected candidate portion of a document, is provided.
