Sentence examples for extraction categories from inspiring English sources

Text was coded from included studies under the following data extraction categories: Study design Meta-analysis; RCT; Controlled interrupted time series; Controlled before and after; Before/after not controlled; Cross sectional; Case study; Qualitative; Commentary.

The initial data extraction categories will be informed by the project team's earlier methodological review [ 18] and will be refined following piloting.

If additional data extraction categories are needed or if missing data emerge, consultation with our research team will guide decisions and will be reported with the findings.

Another weakness of our method is that it is not applicable to every possible entity extraction category.

It is already clear that certain linguistic aspects of questions and answers can make extraction of categories more difficult.

The second stage of the analysis involved the extraction of categories from the codes and their subsequent refinement and grouping into conceptual themes [ 24, 25].

Table 1 Overview of unsupervised keyphrase extraction approaches Category Methods Information Sources Co-occurrence based CM [3], SW [10], TextRank [22], ExpandRank [31] Input documents Statistic-based Wan'07 [32], SC [17], TPR [16] External text corpus, e.g., Wikipedia article Semantics-based Our method Knowledge graphs, e.g., DBpedia.

To fit the factors emerging from the data extraction, the category "demographics and genetics" was expanded to include pregnancy.

First, our method improved the precision of entity extraction of two categories and created a good initial seed that can be used for machine learning in the future.

Data extraction: Cumulative exposure categories and corresponding risks were abstracted.

Table 1 presents the results obtained by our two GO classifiers (the dictionary-based categorizer EAGL and the supervised one GOCat) for the micro-reading task, i.e. the extraction of GO categories out of one single abstract.