PATENT CLAIM ANALYSIS

Application Number: 16112611
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["709", "206000"]

Abstract:
Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.

Claim (Index 6):
The system of  claim 1  further comprising:\n a context data derivation component, wherein the at least one processor further executes the context data derivation component to:\n access the non-linguistic context data from a set of user data, the non-linguistic context data comprising at least one of preferences data, contacts data, health data, interest data, user activity data, calendar data, activities data, work data, hobby data, or daily routine data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.75
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14726562', '14726569', '15816282', '11580926', '15672424']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2619325440246437
- 35 USC 102 Novelty (BERT): 0.5594911120863693
- Combined Prediction Score: 0.2916884008308162
- Mean Citation Score: 264.69212400000004
- Max Citation Score: 439.5038
- Similarity Product: 368.55902342993016

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

Dataset: test