Amazon technologies, inc. (20250021602). ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION: Difference between revisions
Creating a new page |
Creating a new page |
||
| Line 11: | Line 11: | ||
==Inventor(s)== | ==Inventor(s)== | ||
[[:Category:Shrikant G Nayak of Karnataka | [[: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 | [[: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 | [[:Category:Divya Nalam of Karnataka IN|Divya Nalam of Karnataka IN]][[Category:Divya Nalam of Karnataka IN]] | ||
[[:Category:Vijay Daniel Manason of Karnataka | [[: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 | [[: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== | ==ARTIFICIAL INTELLIGENCE SYSTEM FOR EFFICIENT ATTRIBUTE EXTRACTION== | ||
| Line 25: | Line 25: | ||
This abstract first appeared for US patent application 20250021602 titled '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== | ==Original Abstract Submitted== | ||
Latest revision as of 02:30, 26 March 2025
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.