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 5):
The method of  claim 3 , wherein the filtering condition is determined according to at least one of:\n a distance between the entities of the entity pair in a dependency tree, the entities of the entity pair being core words of noun phrases in the sentence, and parts of speech of the entities of the entity pair.

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): 0.2914175581119262
- 35 USC 102 Novelty (BERT): 0.5040402941965614
- Combined Prediction Score: 0.3126798317203897
- Mean Citation Score: 222.23035600000003
- Max Citation Score: 238.32246
- Similarity Product: 152.33636323114158

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