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 9):
A system for spoken language understanding (SLU) comprising:\n a memory configured to store:\n a recurrent neural network (RNN) encoder; \n a first RNN decoder; \n a second RNN decoder; and \n a third RNN decoder; \n an input device; and a processor operatively connected to the memory and the input device, the processor being configured to: receive a plurality of words in a text phrase from the input device; generate a first encoded representation of the plurality of words based on an output of the RNN encoder using the plurality of words as inputs to the RNN encoder; generate an intent label corresponding to the plurality of words based on an output of the first RNN decoder using the first encoded representation as input to the first RNN decoder; generate a corrected plurality of words based on an output of the second RNN decoder using the first encoded representation and the intent label as inputs to the second RNN decoder, the corrected plurality of words including at least one word that is different than one of the plurality of words in the text phrase; generate a second encoded representation corresponding to the plurality of corrected words based on another output of the RNN encoder using the plurality of corrected words as inputs to the RNN encoder; and generate a machine-readable dialogue phrase that includes at least one word in the plurality of corrected words assigned to at least one slot in the machine-readable dialogue phrase based on an output of the third RNN decoder using the second encoded representation of the plurality of corrected words and the intent label as inputs to the third RNN decoder.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.96226
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15408526', '15368380', '15236197', '15817161', '15494193']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2719516631253382
- 35 USC 102 Novelty (BERT): 0.4983602876102688
- Combined Prediction Score: 0.2945925255738312
- Mean Citation Score: 240.18345200000005
- Max Citation Score: 272.05414
- Similarity Product: 211.37838326699853

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