PATENT CLAIM ANALYSIS

Application Number: 15892194
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["704", "270000"]

Abstract:
A system that generates natural language content. The system generates and maintains a dialogue state representation having a process view, query view, and data view. The three-view dialogue state representation is continuously updated during discourse between an agent and a user, and rules can be automatically generated based on the discourse. Upon a content generation event, an object description can be generated based on the dialogue state representation. A string is then determined from the object description, using a hybrid approach of the automatically generated rules and other rules learned from annotation and other user input. The string is translated to text or speech and output by the agent. The present system also incorporates learning techniques, for example when ranking output and processing annotation templates.

Claim (Index 10):
A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method providing a conversational system that generates natural language content, the method comprising:\n conducting discourse between a user and an agent; updating a dialogue state representation based on the discourse; generating an object description based on rules automatically created from the discourse, annotation data, and the present state of the dialogue state representation; and generating a natural language output string based on the object.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 88.0
- Lexical Diversity: 1.86486
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14825171', '14178259', '10807009', '14974271', '13736689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.248839160246911
- 35 USC 102 Novelty (BERT): 0.466417180367343
- Combined Prediction Score: 0.2705969622589542
- Mean Citation Score: 147.01493200000004
- Max Citation Score: 148.45602
- Similarity Product: 108.6631249043548

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

Dataset: test