PATENT CLAIM ANALYSIS

Application Number: 16054704
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Method and apparatus improves the quality of responses from an automatic dialogue system by dynamically adjusting response thresholds. More particularly, the automatic dialogue system may dynamically determine response threshold values in response to user feedback. The response threshold values may be used to evaluate a confidence value. The confidence value may be assigned to or otherwise associated with an input class, or user intent. The system may automatically adjust the response threshold values to provide a better user experience as the amount of user-interaction with the system increases.

Claim (Index 20):
A program product to improve a quality of responses from an automatic dialogue system by dynamically adjusting first and second response thresholds, the program product comprising a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code executable by a processor to access the memory and to execute the program code to receive a user intent, to assign a confidence ranking to a user intent, to perform a first comparison by comparing the confidence ranking to a first response threshold, to output a result to a user, based on the first comparison, to initiate a second comparison by comparing the confidence ranking to a second threshold, based on the second comparison, prompting the user for an inference relating to the accuracy of the response, and to dynamically and separately determine whether to adjust the first and the second response threshold based on the inference.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 1.75926
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15884887', '14086897', '15986766', '15280131', '16014593']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4923579330978643
- 35 USC 102 Novelty (BERT): 0.4801148949112014
- Combined Prediction Score: 0.491133629279198
- Mean Citation Score: 163.047166
- Max Citation Score: 202.11996
- Similarity Product: 151.9636407448554

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