PATENT CLAIM ANALYSIS

Application Number: 15741732
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-03
Patent Classification: ["704", "009000"]

Abstract:
The present application discloses an information extraction method. The method includes extracting a plurality of candidate entities and a plurality of candidate attributes from a target corpus based on a plurality of entity seeds of one or more target types in an entity seeds set; establishing a plurality of correlations between the plurality of candidate attributes and a plurality of entities including the plurality of candidate entities and the plurality of entity seeds; and selecting one or more target entities from the plurality of entities and one or more target attributes from the plurality of candidate attributes based on the plurality of correlations.

Claim (Index 3):
The information extraction method of  claim 2 , wherein establishing the plurality of correlations comprises generating an entity-attribute graph representing the plurality of correlations, each of which being a correlation between one the plurality of entities and one of the plurality of candidate attributes;\n the entity-attribute graph comprises a plurality of nodes and a plurality of edges, each of the plurality of nodes representing one of the plurality of entities or one of the plurality of candidate attributes, each of the plurality of edges representing one of the plurality of correlations; each of the plurality of edges is associated with a weight representing one of the plurality of correlation coefficients; wherein establishing the plurality of correlations further comprises generating an edge between nodes of one of the plurality of entities and one of the plurality of candidate attributes, thereby obtaining the plurality of edges; calculating a correlation coefficient corresponding to one of the plurality of edges; and assigning the correlation coefficient of the one of the plurality of edges as the weight for the one of the plurality of edges.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 86.0
- Lexical Diversity: 2.81579
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14186320', '15375079', '13954155', '12110231', '12764694']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2978799588412505
- 35 USC 102 Novelty (BERT): 0.4868275067817182
- Combined Prediction Score: 0.3167747136352973
- Mean Citation Score: 220.233874
- Max Citation Score: 229.21817
- Similarity Product: 177.6116962368035

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

Dataset: test