View source for Amazon technologies, inc. (20250021602). ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION

=ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION=


==Organization Name==

[[:Category:amazon technologies, inc.|amazon technologies, inc.]]


[[Category:amazon technologies, inc.]]

==Inventor(s)==

[[:Category:Shrikant G Nayak of Karnataka (IN)|Shrikant G Nayak of Karnataka (IN)]][[Category:Shrikant G Nayak of Karnataka (IN)]]

[[:Category:Sathya Prakash Podila Venkata Subramanya of Karnataka (IN)|Sathya Prakash Podila Venkata Subramanya of Karnataka (IN)]][[Category:Sathya Prakash Podila Venkata Subramanya of Karnataka (IN)]]

[[:Category:Divya Nalam of Karnataka (IN)|Divya Nalam of Karnataka (IN)]][[Category:Divya Nalam of Karnataka (IN)]]

[[:Category:Vijay Daniel Manason of Karnataka (IN)|Vijay Daniel Manason of Karnataka (IN)]][[Category:Vijay Daniel Manason of Karnataka (IN)]]

[[:Category:Valluri Subbanna Chowdary of Karnataka (IN)|Valluri Subbanna Chowdary of Karnataka (IN)]][[Category: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.



[[Category:G06F16/84]]
[[Category:G06F18/214]]
[[Category:G06F40/154]]
[[Category:G06F40/16]]
[[Category:G06N5/02]]
[[Category:G06N20/20]]
[[Category:CPC_G06F16/86]]