Patent ID: 11972225
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A non-transitory machine-readable medium comprising instructions that, when executed by a machine, cause the machine to perform operations comprising:
acquiring, at least one input, wherein the input is an image corresponding to a class of patent documents;
encoding the image input via a plurality of networks,
wherein the plurality of networks comprising:
at least one first network for encoding input from a text corpus,
at least one second network for encoding input from the image,
a third network having an input layer for receiving input from the first and second network and an output layer for generating a claim set corresponding to the text corpus and the image;
generating a set of vectors via the plurality of networks, wherein the set of vectors corresponds to a partial representation of the image derived from the plurality of networks;
decoding the set of vectors via the plurality of networks based the text corpus that corresponds to the class of patent documents;
obtaining a claim set via the plurality of networks corresponding to the image,
wherein the plurality of networks is trained by:
initializing said at least one first, second, or third network of the plurality of networks with weights of a generated value and an adaptive learning rate to an initial value,
storing an input layer pattern of images and an output layer pattern of claims,
processing the input layer pattern of images in the network to obtain an output pattern of claims,
calculating an error between the output layer pattern of images and the output pattern of claims, and
updating the adaptive learning rate with respect to the calculated error until a final trained state is achieved, otherwise, repeating steps above for as many iterations as necessary to reach the final trained state.