PATENT CLAIM ANALYSIS

Application Number: 15962900
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-08
Patent Classification: ["704", "232000"]

Abstract:
A method for spoken language understanding (SLU) includes generating a first encoded representation of words from a user based on an output of a recurrent neural network (RNN), generating an intent label corresponding to the words based on an output of a first RNN decoder based on the first encoded representation, generating a corrected plurality of words based on an output of a second RNN decoder based on the first encoded representation and the intent label, generating a second encoded representation corresponding to the plurality of corrected words using the RNN encoder based on the plurality of corrected words, and generating a machine-readable dialogue phrase that includes at least one word in the plurality of corrected words assigned to at least one slot based on an output of a third RNN decoder based on the second encoded representation of the plurality of corrected words and the intent label.

Claim (Index 4):
The method of  claim 3 , wherein the RNN encoder generates the second encoded representation corresponding to the plurality of corrected words based on a second vector of hidden states generated in the RNN encoder.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.96226
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15408526', '15368380', '15236197', '15817161', '15494193']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.295586256584849
- 35 USC 102 Novelty (BERT): 0.5038731918992619
- Combined Prediction Score: 0.3164149501162903
- Mean Citation Score: 240.18345200000005
- Max Citation Score: 272.05414
- Similarity Product: 200.10372725952865

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