Sentence examples for estimating the semantic from inspiring English sources

Therefore, we may conclude that Word2Vec is more suitable than LDA for estimating the semantic similarity between biomedical articles.

The comparison between Word2Vec and LDA shows that Word2Vec is more suitable than LDA for estimating the semantic similarity between biomedical articles.

Furthermore, the distance metric used to estimate the semantic similarity between images is also discussed.

Concerning the word-based semantic similarity, an information content-based measure is used to estimate the semantic similarity degree between words by exploiting the WordNet is-a taxonomy.

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

Using a lexical analysis, the comparison of the similarity of strings or substrings of concepts can help to estimate the semantic similarity of the concepts.

As the contingency table has been weighted by the LC method, the kappa method (instead of weighted-kappa method) can be directly used to estimate the semantic similarity.

We also discuss the SemaGrow Stack, a query federation and data integration infrastructure used to estimate the semantic distance between crawled web resources and AGRIS.

The information content of each GO term for each protein inside the detected modules was calculated and then three measures were applied to estimate the semantic similarity between GO terms assigned using orthology exploitation to un-annotated proteins and the GO terms assigned to the annotated proteins inside the same functional module.

We also estimated the semantic similarity between population patterns with simpler models for the population responses to the stimuli using conditionally independent models of encoding, where for each stimulus s the response is described by P (r | s ) = Π i P (r i | s ).

Their model creates an approximation method for calculating the degree of untruthfulness for reviews based on the duplicate identification results by estimating the overlap of semantic contents among reviews using a Semantic Language Model (SLM).