Sentence examples for evaluating the semantic from inspiring English sources

This paper presents an empirical research for evaluating the semantic comprehension of two standard languages, UML (Unified Modeling Language) versus OML (OPEN Modeling Language), from the perspective of the dynamic modeling.

Several similarity measures have been developed for evaluating the semantic similarity between two GO terms [ 26- 28].

A linguist assessed the quality of the translation by evaluating the semantic equivalence between the two English versions.

The method developed by Pandey et.al, improves on the standard classification-based function prediction algorithms by incorporating the GO DAG structure information into the k-nearest neighbor classifier and uses Lin's measure for evaluating the semantic similarity between the nodes in the ontology [ 22].

The co-occurrence of terms is used to evaluate the semantic relationship between terms in SRL.

To the best knowledge of the authors, despite the work on usability studies conducted in [5, 14] and work related to methodology for evaluating semantic search tools [16], there is no widespread repeatable methodology allowing to evaluate the semantic search systems with different user interfaces, which does not depend on users' opinions.

We present results from 4 sets of studies designed to evaluate the semantic structure of the EsSense Profile®, to develop a shorter version of it, and to validate the shorter version, both conceptually and practically.

It will be rarely the case that the three parts will coincide, but we can evaluate the semantic proximity or nearness between C1 and C2, based on the respective positions of their knowledge parts in the ontology and the levels associated with the skills and the performance parts.

The judges were required to evaluate the semantic associativeness of each noun-adjective pair on a 5-point scale.

Subjects evaluate the semantic content of a term as a relative position between two bipolar words, such as warm-cold, bright-dark, beautiful-ugly, sweet-bitter, fair-unfair, brave-cowardly, meaningful-meaningless.

The algorithm evaluates the semantic similarity between nodes in ontology and incorporates these similarities into k-nearest neighbor classifier.