Sentence examples for between two entities based from inspiring English sources
Li et al. [65] apply the CRF model for extraction of specific relations between two entities based on general relations.
We propose a novel general-purpose annotation similarity measure called 'AnnSim' that measures the relatedness between two entities based on the similarity of their annotations.
14 16 The microfluidics system of the biosensor allows the injection of the compound over an immobilised protein and the optical detector measures the direct binding between the two entities based on the difference in refractive index near the surface that occurs as the compound binds, thus allowing a real-time and label-free measurement of compound binding to the target.
Conceptual similarity measures assign a value of similarity to two entities based on a given ontology.
We propose a conceptual similarity measure that decides similarity of two entities based on the perfect matching of the annotations of the entities.
To our knowledge this is the first approach to measure similarity between two multivariate entities based on joint probability density masses in selected points giving emphasis on both linear and probabilistic relations.
The simplest approach for text mining relations is entity co-occurrence where a relationship between two entities is proposed based on sentence- or abstract-level co-occurrence statistics.
A semantic association is a set of relationships between two entities in a knowledge base represented as graph paths consisting of a sequence of links.
relation RelationExtractorAnnotator MachineReadingAnnotations.RelationMentionsAnnotation Stanford relation extractor is a Java implementation to find relations between two entities.
