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 13):
The device of  claim 9 , wherein the processing module comprises:\n an obtaining unit, configured for applying the entity pair and the candidate relations of the entity pair to an entity relation determining model, to obtain output results corresponding to the respective candidate relations; and a calculating unit, configured for, in response to the output result of the entity relation determining model being a positive example, calculating a confidence level of the candidate relation, and determining the entity relation of the entity pair according to the confidence level.

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): 0.2944293121131722
- 35 USC 102 Novelty (BERT): 0.4882285242112578
- Combined Prediction Score: 0.3138092333229808
- Mean Citation Score: 222.23035600000003
- Max Citation Score: 238.32246
- Similarity Product: 188.6500337262869

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