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We propose using quoted phrase queries, i.e., enclosed continuously occurred terms with double quotation marks around them.
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Older adults often also have difficulty discriminating events they imagined from those that actually occurred (termed "reality monitoring").
Fig. 2 Frequently occurring terms in discharge summaries.
Penalizing frequently occurring terms gives a better picture of the diseases, symptoms, and medications co-occurring with COPD.
As it was mentioned earlier, term weighting was applied as a feature selection algorithm for reducing the influence of frequently occurring terms in a collection of documents.
Semantic features Every noun and verb terms from the input short text, concepts representing them, and co-occurring terms constitutes the Semantic features.
Apache cTAKES was used to annotate discharge summaries and normalize medications, diseases, and symptoms to a UMLS CID. Figure 2 illustrates the most frequently occurring terms in this dataset.
To start with, first we describe the following phrases used in our system: Semantic features Every noun and verb terms from the input short text, concepts representing them, and co-occurring terms constitutes the Semantic features.
Less frequently occurring terms are said to be more informative.
The cut-off level may have eliminated infrequently occurring terms with high discriminatory capacity.
Having this information is important because more effort should be placed on frequently occurring terms.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com