PATENT CLAIM ANALYSIS

Application Number: 16128410
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-05
Patent Classification: ["704", "009000"]

Abstract:
A method and device for extracting entity relation based on deep learning and a server are provided. The method includes: preprocessing a text to be mined, to obtain a sentence with entities in the text to be mined; determining an entity pair in the sentence according to the entities, wherein the entity pair includes at least two entities, and determining candidate relations between entities in the entity pair; and determining an entity relation between the entities in the entity pair from the candidate relations.

Claim (Index 7):
The method of  claim 6 , wherein the extracting strategy comprises:\n extracting all nouns and verbs under the entity pair in a relation tree.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.04444
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15609800', '14548359', '14644423', '12757722', '15498517']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2905866600914481
- 35 USC 102 Novelty (BERT): 0.5084191867839347
- Combined Prediction Score: 0.3123699127606968
- Mean Citation Score: 222.23035600000003
- Max Citation Score: 238.32246
- Similarity Product: 142.27944684013366

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