Sentence examples for semantic clustering from inspiring English sources

I-TWEC has the lexical and semantic clustering components implemented as two consecutive phases.

REViGO92, which removes redundant and similar terms from long Gene Ontology lists by semantic clustering, was applied to visualize the enrichment results.

Semantic clustering is an effective strategy to enhance encoding of verbal episodic memory (VEM) when word lists are semantically related.

We introduce Semantic Clustering, a technique based on Latent Semantic Indexing and clustering to group source artifacts that use similar vocabulary.

We therefore studied children and adolescents with OCD during uncued semantic clustering strategy application in a VEM functional magnetic resonance imaging (fMRI encoding paradigm.

The main objective of this paper is to propose a systematic methodology to create ontologies, using methods such as a semantic clustering algorithms for retrieval and representation of information.

We call these groups semantic clusters and we interpret them as linguistic topics that reveal the intention of the code.

It consists of concepts (semantic clusters), and each concept is the system's piece of 'knowledge' about what the user is interested in.

Interestingly, in their model of formation of semantic clusters in Wikipedia, Masucci et al. [30] have assumed a lognormal distribution of sizes of 'seed' articles.

This semantic cluster provides interesting insights into who we, culturally, choose to believe and how we, systemically, regulate narratives and prioritize experiences.

Then, at higher levels, more complex concepts form, creating smaller semantic clusters.