PATENT CLAIM ANALYSIS

Application Number: 16180774
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-08
Patent Classification: ["704", "275000"]

Abstract:
Systems and methods for generating responses to user input such as dialogues, and images are discussed. The system may generate, by a response generation module of at least one server, an optimal generated response to the user communication by applying an generative adversarial network. In some embodiments, the generative adversarial network may include a hierarchical recurrent encoder decoder generative adversarial network including a generator and a discriminator component.

Claim (Index 10):
An improved method for providing computer generated responses to user communications comprising:\n receiving, by a user interface of a user device, a user communication; transmitting, by the user device, the user communication to at least one server communicatively coupled to the user device; receiving, by the user device, a computer generated response to the user communication, wherein the computer generated response is generated by applying an generative adversarial network to the user communication, the generative adversarial network comprising a generator component and a discriminator component, the discriminator component comprising a convolutional neural network and a recurrent neural network, wherein applying the generative adversarial network comprises:\n generating, via the generator component, a plurality of computer generated responses responsive to the user communication, and \n selecting, via the discriminator component, an optimal computer generated response from among the plurality of computer generated responses; and \n providing, by the user interface, the computer generated response to a user of the user device.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 98.0
- Lexical Diversity: 1.44231
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15891972', '16150103', '15784057', '15850007', '15923347']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2195043626904432
- 35 USC 102 Novelty (BERT): 0.5696028221827041
- Combined Prediction Score: 0.2545142086396693
- Mean Citation Score: 236.660438
- Max Citation Score: 434.4330000000001
- Similarity Product: 428.9171158432961

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test