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The goal of this annotation schema is to provide information on the decisions and methods followed for the classification and annotation task pursed in Work Package 3 (WP3): Complexity classification and data. The accomplishment of the iRead4skills project encompasses a specific classification and annotation task to validate and correct/improve the final data set of WP3. The goal of this task is to ensure that the final data set is rich and useful for the subsequent train of machine learning algorithms for complexity classification. Besides validating the classification proposed (see Table 1) using texts from the project's first data set (D3.2), the annotation task will allow us to gather additional information on what specific parts of the texts the end-users consider relevant with regard to the text complexity and on the more relevant dimensions (lexicon, structure, topic).
schema, annotation
schema, annotation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |