PATENT CLAIM ANALYSIS

Application Number: 15946473
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["704", "257000"]

Abstract:
One general aspect includes a vehicle including: a passenger compartment for a user; a sensor located in the passenger compartment, the sensor configured to obtain a speech request from the user; a memory configured to store a specific intent for the speech request; and a processor configured to at least facilitate: obtaining a speech request from the user; attempting to classify the specific intent for the speech request via a voice assistant; determining the voice assistant cannot classify the specific intent from the speech request; after determining the voice assistant cannot classify the specific intent, interpreting the specific intent via one or more natural language processing (NLP) methodologies; implementing the voice assistant to fulfill the speech request or accessing one or more personal assistants to fulfill the speech request or some combination thereof, after the one or more NLP methodologies has interpreted the specific intent.

Claim (Index 15):
The system of  claim 13 , further comprising, applying one or more machine-learning methodologies to assist the voice assistant to classify the specific intent for one or more subsequent similar speech requests.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 91.0
- Lexical Diversity: 2.49231
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15266956', '15679098', '13725713', '13250854', '15072778']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2980253014461704
- 35 USC 102 Novelty (BERT): 0.4744138645967889
- Combined Prediction Score: 0.3156641577612322
- Mean Citation Score: 175.42943
- Max Citation Score: 180.3572
- Similarity Product: 122.17899706654548

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

Dataset: test