PATENT CLAIM ANALYSIS

Application Number: 15935571
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "009000"]

Abstract:
A method and device for n-gram identification and extraction is disclosed. The method includes identifying at least one n-gram from a sentence inputted by a user based on a confidence score associated with each of the at least one n-gram. The method further includes determining a direction context entropy coefficient for each of the at least one n-gram. The method includes iteratively expanding one or more of the at least one n-gram by the smallest n-gram unit at each iteration in a predefined direction in the sentence to generate at least one expanded n-gram, based on an associated direction context entropy coefficient. The method further includes extracting at each expanding iteration one or more of the at least one expanded n-gram based on an associated confidence score. The method includes grouping semantically linked n-grams from the one or more of the at least one expanded n-gram.

Claim (Index 6):
The method of  claim 1 , wherein the direction context entropy coefficient for the n-gram comprises at least one of a left context entropy coefficient and a right context entropy coefficient,\n wherein the n-gram is expanded in the left direction in the sentence, when the left context entropy coefficient for the n-gram is higher than an associated predefined context threshold, and wherein the n-gram is expanded in the right direction in the sentence, when the right context entropy coefficient for the n-gram is higher than the associated predefined context threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.68421
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15428599', '12022819', '10655838', '15619274', '13094999']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2908568439664949
- 35 USC 102 Novelty (BERT): 0.4969804034684449
- Combined Prediction Score: 0.3114691999166899
- Mean Citation Score: 208.74496800000003
- Max Citation Score: 213.2046
- Similarity Product: 138.83863143993617

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

Dataset: test