PATENT CLAIM ANALYSIS

Application Number: 16245153
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["704", "257000"]

Abstract:
Systems perform methods of interpreting spoken utterances from a user and responding to the utterances by providing requested information or performing a requested action. The utterances are interpreted in the context of multiple domains. Each interpretation is assigned a relevancy score based on how well the interpretation represents what the speaker intended. Interpretations having a relevancy score below a threshold for its associated domain are discarded. A remaining interpretation is chosen based on choosing the most relevant domain for the utterance. The user may be prompted to provide disambiguation information that can be used to choose the best domain. Storing past associations of utterance representation and domain choice allows for measuring the strength of correlation between uttered words and phrases with relevant domains. This correlation strength information may allow the system to automatically disambiguate alternate interpretations without requiring user input.

Claim (Index 9):
The method of  claim 1 , wherein audio speech is used to (i) present the list of candidate domains to the user and (ii) ask the user to choose the domain from the presented list.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 99.0
- Lexical Diversity: 1.5914
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15456354', '13022370', '12571795', '11954064', '12365516']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3254127200264057
- 35 USC 102 Novelty (BERT): 0.5595081866606286
- Combined Prediction Score: 0.3488222666898281
- Mean Citation Score: 258.120874
- Max Citation Score: 433.7791
- Similarity Product: 355.5545866070211

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