PATENT CLAIM ANALYSIS

Application Number: 15946687
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
The disclosure relates to systems and methods for generating semantic parsers based on automatically generated operators and user-designated utterances relating to the operators for use in natural language processing. The system may automatically generate multiple operators that each express a respective computer-executable instruction that resolves a request. These operators may be expressed in a manner that is machine-readable and not necessarily for consumption by a human user. The system may generate a canonical statement that expresses the request in a first manner that a human user would be able to understand. The system may generate a task, such as crowd-sourced task, for a human user to provide an utterance that conveys the canonical statement in a second manner different than the first manner. By doing so, the system may rapidly build operators and learn how humans would utter requests resolved by instructions encoded in the operators for building semantic parsers.

Claim (Index 1):
A system of generating a semantic parser for natural language processing, comprising:\n one or more physical processors programmed to: generate an operator that represents a computer-executable instruction that resolves a request; generate a canonical statement of the operator for presentation to a human user, wherein the canonical statement expresses the request in a first manner; generate a task, after the operator has been generated and to be performed by the human user, to make an utterance that conveys the canonical version in a second manner different than the first manner; receive the utterance; associate the utterance with the operator; and generate the semantic parser based on the association of the utterance with the operator.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 1.89286
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10261550', '12580923', '14736540', '15808031', '11937118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2459307145269572
- 35 USC 102 Novelty (BERT): 0.4557932654024294
- Combined Prediction Score: 0.2669169696145045
- Mean Citation Score: 68.14794479999999
- Max Citation Score: 82.17447
- Similarity Product: 56.55153448902547

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