PATENT CLAIM ANALYSIS

Application Number: 16427965
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["704", "009000"]

Abstract:
A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Claim (Index 17):
A method for providing automated natural language dialogue with a customer, comprising:\n receiving a first event to be placed in an event queue, the event queue being monitored by a dialogue management device in an interaction, the dialogue management device comprising:\n a trained machine learning model; and \n a customer context derived from financial customer information comprising customer conversation history; \n responsive to processing the first event, generating, by the dialogue management device and based on the trained machine learning model and the customer context, a first command to be placed in a command queue, wherein the command queue comprises one or more commands for execution by one or more of a natural language processing device, an API server, or a communication interface; responsive to receiving the first command, determining a meaning of an incoming customer dialogue message based on the customer context; responsive to execution of the first command by one of a natural language processing device or the API server, generating a second event to be placed in the event queue; and responsive to processing the second event, generating, by the dialogue management device and based on one or more of the trained machine learning model or the customer context, a response dialogue message based at least in part on retrieved customer data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.65517
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15665960', '15997032', '16420290', '16026198', '15916521']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.267693444496634
- 35 USC 102 Novelty (BERT): 0.5250146715114348
- Combined Prediction Score: 0.2934255671981141
- Mean Citation Score: 254.206318
- Max Citation Score: 349.77475
- Similarity Product: 313.7014435867667

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

Dataset: test