Sentence examples for documents extracted from inspiring English sources

Exact(8)

This study was restricted to 1417 documents extracted from Scopus database, having affiliation addresses belonging to the Arab world, and bearing article titles with terms related to groundwater.

The total number of documents extracted from Scopus database with terms related to "groundwater" in the article titles, without imposing limitations to search for specific countries was 43,657 documents.

This is explicable because the same protein identifier would occur in many documents, particularly for popular targets, and therefore the rate of inclusion of unique protein identifiers would not be directly proportional to the number of documents extracted.

After removing duplicates and records with an empty abstract, 1308 documents were included in the corpus as shown in Fig. 2. Fig. 2 Corpus generation: documents extracted per literature database, documents removed from the corpus, and total number of included documents.

Further adaptations could therefore be needed for text documents extracted from the VISTA systems at other VA facilities.

We developed a two-stage classification method to identify genes and genetic lesion statuses in clinical trial documents extracted from the National Cancer Institute's (NCI's) Physician Data Query (PDQ) cancer clinical trial database.

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Frédérique Segond, manager of parsing and semantics research at XRCE said that the tool is more accurate because it delves into documents, extracting the concepts and the relationships among them.

This software can encode and annotate a large number of documents, extract relevant data and link emerging themes.

Below is a segment of a document extracted from Medline using the PubMed http://www.ncbi.nlm.nih.gov/pubmed interface (PMID: 19318702) that includes PICO elements that are clearly identified: PARTICIPANTS : 2426 nulliparous, non-diabetic women at term, with a singleton cephalic presenting fetus and in labour with a cervical dilatation of less than 6 cm.

Then, ACE reparses each document extracting unqualified, ambiguous terms and resolves these for their corresponding code elements by using the context of the terms.

Because each URI to a term is itself a link to an OWL DL document, extracting the closure of the RDG (i.e., dereferencing all URIs and embedding the resultant OWL RDF/XML) can be automated to expand the RDG into hundreds of statements.

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