Sentence examples for large set of terms from inspiring English sources

As result, a rather large set of terms is extracted from each corpora.

This representation requires first, to define and extract terms from the text (which may yield a very large set of terms), and second, to reduce the term space and select a representative subset, T, of terms that optimize classification performance.

For example, an ontology for human anatomy such as the Foundational Model of Anatomy [ 20] will not only contain the classes and relations relevant to describe human anatomy, but also provide a large set of terms used to refer to human anatomical structures and the ways in which they may be related (as labels of the relations).

The text and logical definitions help annotators maintain accuracy and consistency in using a large set of ontology terms.

If an ontology aims to cover a domain completely, the set of labels associated with the ontology classes and relations provide a large set of relevant terms within that domain.

If a high cut-off qvalue is selected, then a large set of correct term pairs are included, but there will also be a large number of correct term pairs that are excluded.

The purpose was to investigate the potential use of a large set of long-term data for establishing reference values regarding voice use in natural situations.

Our simulations, based on a large set of long-term TCP sessions, show that 70% of their predictions exceed the boundaries of TCP-Friendliness, thus questioning their use in the design of new TCP-Friendly transport protocols.

A large set of GO-terms associated with upregulated genes were related to the senescence associated secretory phenotype [ 64].

Notably, a similar level of accuracy was recently reported for a large set of molecules in terms of their relative binding free energies.

Instead, our IAAs are more akin to the results found in a similar annotation task, known as MeSH indexing (IAA of 48%), in which human curators choose relevant annotation concepts from a large set of controlled vocabulary terms (46, 47).