PATENT CLAIM ANALYSIS

Application Number: 15937593
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["704", "009000"]

Abstract:
The present disclosure discloses an artificial intelligence based method and apparatus for segmenting a sentence. A specific embodiment of the method includes: lexing a to-be-segmented original sentence to obtain a set of words in the original sentence; performing sentence segmentation steps on a to-be-segmented sentence having an initial value being the original sentence; using the sub-sentence fragment not belonging to the set of words as the to-be-segmented sentence and continuing to perform the sentence segmentation steps, if the sub-sentence fragment not belonging to the set of words exists; and storing the original sentence in association with the plurality of sub-sentence fragments each time obtained by performing the sentence segmentation steps. The embodiment generates a segmentation result obtained by performing a multi-layered segmentation to the original sentence.

Claim (Index 7):
The method according to  claim 1 , wherein the storing the original sentence in association with the plurality of sub-sentence fragments each time obtained by performing the sentence segmentation steps comprises:\n determining the original sentence as a root node, and determining successively the to-be-segmented sentence with the sentence segmentation steps performed each time and the plurality of sub-sentence fragments obtained by segmenting as a parent node and a plurality of corresponding child nodes, and constructing a tree hierarchy with nodes being sentence fragments.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.12698
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15694918', '14794805', '11144950', '10223502', '12187131']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3153257474876033
- 35 USC 102 Novelty (BERT): 0.5000610975411731
- Combined Prediction Score: 0.3337992824929603
- Mean Citation Score: 243.41464399999995
- Max Citation Score: 253.79219
- Similarity Product: 180.52193485216856

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

Dataset: test