Sentence examples for role classification from inspiring English sources

The research problem was stated as follows: Is there a suitable framework of team role classification to be used?

Here, we attempted to establish a succinct history and a presentation of these liquids with emphasis on their role, classification, importance and application in biological systems.

Only the HM role classification clearly sets these two pivotal actors apart.

The sensitivity of role classification to different heuristics is, ultimately, an empirical question: for some data structures, some divisions will yield more informative classifications than others.

This distance measure is defined based on length of category or role classification tree path separating the nearest ancestor nodes of agent node pair situated in this topic-subtopic role hierarchy tree.

Annotation projects similar to this one have typically been carried out using text sources that already had hand-curated syntactic parses, reducing the question of what span of text to annotate for a given argument to the question of node selection (for the distinction between node selection or role identification and role classification, see Palmer et al. 2005 [2005

Schematic representation of role classifications derived from two methods.

This focus on different network features results in alternative role classifications that, as the findings reported show, capture with more or less success differences in behavior.

Manatee supports the capture and curation of several types of annotation information including protein name, gene symbol, Enzyme Commission (EC) number, private and public comments, functional role classifications and GO terms.

It means these classifiers have global high categorization ability and should play a more important role in classification process instead of using the average weight simply.

Apart from these levels (low, mid, and high) of representations, classifiers also play an important role in classification accuracies, such as SVM with different kernels (e.g., linear, polynomial and RBF kernel) are used for classification in various applications [7, 17, 18, 50].