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A visual representation for the annotation of the Concept Recognizer for the given data sentence is shown in Fig. 2, and similar annotation exists for the sentence that includes the clinical question.
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We extract training data (sentences annotated with grammatical and information structure and their surface word orders) from the Prague Dependency Treebank (Hajic et al., 2001) and use basic alignment (edge-most) constraints on grammatical and information structure to predict the surface order of the subject, verb, and object.
Open coding refers to labeling of data, sentence-by-sentence or paragraph-by-paragraph.
I am reading data now Sentence building (SBUS) Happy Emotional HS10 How about Mr. Woo?
Recall the data in sentence one above.
This is followed by an elaboration of the method, including the data collection, sentence annotation, classification using CRFs and feature extraction.
For the subset of articles that are part of the MEDLINE database (N=774 442), we also processed abstracts with our method and found that <0.1% contained a data deposition sentence.
To avoid overlearning, the 540 sentences plus the training data (1,500 sentences) shown in Table 1 were used to train BF-DNN and DAE.
Table 2 Distribution of classes in the training data # % Sentences with inclusive pronouns 1395 12.9 Sentences without inclusive pronouns 9446 87.1 Total 10,841 .
During the past month the parole board postponed more than 200 parole hearings because it did not have enough data, like sentencing transcripts and pre-sentencing investigation reports, Mr. Farr said.
The first part performs tasks (1) and (2) (i.e. splitting MEDLINE data into sentences, extracting abbreviation-long form pairs from the sentences) and the second part consists of the remaining tasks (3) through (6).
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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