"extract relationships" is a valid phrase in written English.
You can use it to describe the process of discovering or uncovering connections between two or more things. For example, you might use it in a sentence such as: "Data mining techniques can be used to extract relationships between customer purchases and products."
From these it was able to extract relationships between concepts and become deft enough with metaphors, similes or puns that it could cope with the show's elliptical clues.It is this ability to process human-oriented information that IBM hopes will be useful for doctors.
Co-references (and links) are used to detect and extract relationships between and among entities.
Table 1 presents the three patterns used to extract relationships based on qualia formal role, as claimed by Cimiano and Wenderoth [12].
Extraction systems are used to identify elements in a text document that belong to predefined categories of entities and to extract relationships or associations among/between entities [14].
This approach has been used to extract relationships from many forms of spectra and numerical data related to GAGs [5], [27], [28], [29].
This technique allows a modeler to extract relationships between the response and predictor variables from the data without making strong assumptions about the shape of the response function [30].
The final step of the NLP operations in the interpreter includes a queries' template based on expression matching in order to extract relationship patterns between clinical entities.
SOM is considered an ideal tool for analysing complex geological and mining datasets, and for extracting relationships and patterns that typically are not evident by other means.
For instance, Cheng et al. [18] have developed a web-based text mining system called PolySearch for extracting relationships between human diseases, genes, mutations, drugs and metabolites.
In addition, chemical ontologies may enable new ways of knowledge discovery for example by extracting relationships between compound classes and related data from other domains, which are traditionally known as structure-activity relationships (SAR) or structure property relationships (SPR).
In addition, it may enable new ways of knowledge discovery for example by extracting relationships between compound structure and its properties, traditionally known as structure-activity relationships (SAR) or structure property relationships (SPR).
