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 38):
The system of  claim 30 , wherein one or more processors are further programmed by the executable instructions to:\n receive audio data representing the utterance; and generate the text data using the audio data and an automatic speech recognition (\u201cASR\u201d) 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): 0.3543924737852955
- 35 USC 102 Novelty (BERT): 0.5358188912415089
- Combined Prediction Score: 0.3725351155309168
- Mean Citation Score: 343.75205800000015
- Max Citation Score: 383.16238
- Similarity Product: 327.3668267713761

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