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In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The study of genres as bodies of musical items aggregated according to subjective and local criteria requires corresponding inductive models of such a notion. This process can be thus(More)
This deliverable concerns the analysis of tools and techniques for cross-linguistic information extraction and retrieval as they are discussed in deliverable 16.3. Their aim is to support metadata extraction abilities for heterogeneous material, written in more than one language and in more than one style. The work provides a survey of the benefits of(More)
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