Sentence examples for list of extracted from inspiring English sources

A complete list of extracted features together with the mathematical description is presented in Table 1.

For all these experiments, we started with a qualified list of extracted terms, duly ranked with an effective relevance index.

All experiments with cutoff points conducted in this paper were based on the list of extracted terms from the five aforementioned corpora.

Note that this assumption is probably as secure as to assume that terms that are not present in the list of extracted terms can never be considered relevant.

The main purpose of this paper was to propose a policy to estimate a reasonably balanced cutoff point that may be applicable to virtually any list of extracted terms.

It takes a complex text, which can be a word, a phrase, a sentence, or a paragraph as input and returns a list of extracted nouns and noun phrases ((L_{mathrm{result}})) as output.

The data file contains used metadata together with the lists of extracted concept identifiers for each manuscript under investigation.

From the lists of extracted keywords from reviewed articles shown in Appendix A, we were able to identify 158 unique keywords.

The reference lists of extracted articles were hand searched for additional relevant articles.

We searched the PubMed, Embase and CENTRAL (Cochrane Central Register of Controlled Trials) databases and reference lists of extracted articles.

We also searched the reference lists of extracted studies and previously published systematic reviews [ 1, 12, 14- 16].