PATENT CLAIM ANALYSIS

Application Number: 16200411
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating additional training data for a natural language understanding engine. One of the methods includes: obtaining data identifying (i) a first input conversational turn and (ii) a first annotation, determining that the first annotation accurately characterized the first input conversational turn, determining that the natural language understanding engine is likely to generate inaccurate annotations of other conversational turns that are similar to the first input conversational turn, in response to the determining, obtaining one or more first paraphrases of the first input conversational turn; and generating, for each of the one or more first paraphrases, a respective first training example that identifies the first annotation as the correct annotation for the first paraphrase; and training the natural language understanding engine on at least the first training examples.

Claim (Index 14):
The computer-readable storage media of  claim 13 , further comprising obtaining a confidence score generated by the natural language understanding engine that represents a confidence that the first annotation is an accurate characterization of the first input conversational turn, and wherein determining that the first annotation does not accurately characterize the first input conversational turn comprises determining that the confidence score fails to exceed a threshold.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.23944
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16051362', '15667283', '13793805', '13793854', '13793822']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5395691932199461
- 35 USC 102 Novelty (BERT): 0.5858328095373544
- Combined Prediction Score: 0.544195554851687
- Mean Citation Score: 317.47598
- Max Citation Score: 555.0679299999998
- Similarity Product: 410.1606061901932

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test