Sentence examples for measuring the semantic from inspiring English sources

Measuring the semantic similarity of short texts is a noteworthy problem since short texts are widely used on the Internet, in the form of product descriptions or captions, image and webpage tags, news headlines, etc.

Central to the concept-based indexing technique discussed is the concept disambiguation algorithm developed, which identifies the most relevant 'semantic DNA' (SDNA) by measuring the semantic importance of each word/phrase in the annotation.

Instead, we estimate the semantic relevance of a biomedical article by measuring the semantic similarity between the article and a pseudo-relevance feedback set.

Measuring the semantic similarity between the chemical entities mentioned in a given fragment of text has been shown to provide an effective validation method to achieve high precision values [2].

In this paper we extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows.

G-SESAME [ 14] is an online tool for measuring the semantic similarity between two genes.

Next, by combining the edit distance with feature weights and the semantic meanings of case nodes, the cost function is proposed to measure the semantic difference and the conditions which make it a metric are discussed.

It measures the semantic similarity between concepts that play the same syntactic role.

It measures the semantic similarity via the synonymy relations between words in sentences.

The simUI measure [21] is an edge-based approach to measure the semantic similarity between two classes.

Test(U i ): This query is used to measure the semantic security of the session key of instance U i, if the latter is defined.