Sentence examples for measures the semantic from inspiring English sources

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.

(SEM d,D^k_{PRF}(Q))) measures the semantic similarity between document d and the pseudo-relevance feedback set (D^k_{PRF}(Q)), which is given as follows: begin{aligned} SEM d,D^k_{PRF}(Q))=sum _{d' in D^k_{PRF}(Q)} w_{d'} cdot Sim(d',d) end{aligned} (10 where (d') is one of the biomedical articles in (D^k_{PRF}(Q)).

To do this, G2D measures the semantic distance between the annotations of the "known genes" and the annotations of genes in the problem region assigned by homology searches.

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

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

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.

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.

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.

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].

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.