PATENT CLAIM ANALYSIS

Application Number: 16337929
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["704", "009000"]

Abstract:
An intention acquisition method, an electronic device and a computer-readable computer storage are provided. The method includes: segmenting a text sentence into multiple words; mapping the multiple words obtained by segmentation to preset keywords; determining an intention node most semantically approximate to the mapped words in a preset knowledge graph; performing semantic supplementing on the most approximate intention node according to a preset supplementing manner to obtain a supplemented intention node; if the supplemented intention node is an egress node, acquiring detailed intention information associated with the supplemented intention node in a specified range in a detailed intention layer of the knowledge graph according to intention information corresponding to the supplemented intention node, and determining an intention of a user according to the acquired detailed intention information; and if the supplemented intention node is a non-egress node, determining the intention of the user according to a preset query mode.

Claim (Index 2):
The electronic device of  claim 1 , wherein the preset knowledge graph comprises the intention node layer, the detailed intention layer and a knowledge base layer, the intention node layer comprises nodes of multiple levels consisting of word elements of different types, the detailed intention layer stores detailed intention information associated with egress nodes of the intention node layer, and the knowledge base layer stores detailed intention information screened from the detailed intention layer and records the screened detailed intention information as specific knowledge.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.33333
- Patent Class: 704.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['09852317', '14881900', '11544200', '15076654', '11996484']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3106672325890258
- 35 USC 102 Novelty (BERT): 0.4774247279980366
- Combined Prediction Score: 0.3273429821299268
- Mean Citation Score: 146.28535
- Max Citation Score: 150.86213999999995
- Similarity Product: 100.61794298600071

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