PATENT CLAIM ANALYSIS

Application Number: 15966400
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["704", "009000"]

Abstract:
Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.

Claim (Index 39):
The system of  claim 30 , wherein the executable instructions to generate the response data comprise executable instructions to:\n generate response text data using a natural language generation component; and generate response audio data using the response text data and a text-to-speech component.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 1.86667
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15694996', '15256176', '13720909', '14754598', '15197022']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3552636594681963
- 35 USC 102 Novelty (BERT): 0.5351655015853974
- Combined Prediction Score: 0.3732538436799164
- Mean Citation Score: 343.75205800000015
- Max Citation Score: 383.16238
- Similarity Product: 298.5791117750668

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