This paper examines genre classification of documents and its role in enabling the effective automated management of digital documents by digital libraries and other repositories. We have previously presented genre classification as a valuable step toward achieving automated extraction of descriptive metadata for digital material. Here, we present results from experiments using human labellers,...

We approach the general problem of machineprinted document genre classification using contentfree layout structure analysis. Document genre is determined from the layout structure detected from scanned binary images of the document pages, using no OCR results and minimal a priori knowledge of document logical structures. Our approach uses attributed relational graphs (ARGs) to represent the lay...

Classification and abstraction of narrative content is a problem that spans several domains and disciplines ranging from Film Studies and Narratology to Adaptive Hypermedia and Computational Preference Modeling. Applications for automatic recognition and classification of narrative content range from commercial recommendation systems to interactive digital storytelling (IDS) systems. The notion...

This case study explores the cognitive and emotional development of a university student using schema complete orienting basis action (SCOBA) in her learning Italian as foreign language. The article follows Marie, 19-year-old undergraduate student, she used SCOBA that illustrated concept Genre Register typified situations. Marie’s lived experiences how overcame struggles while are analyzed thro...

Despite the increasing demands on many multilingual scholars outside the centre(s) of scientific knowledge production to publish their research in international scholarly journals, the support for such academic writing for publication is uneven at best. Existing English for research publication purposes (ERPP) instruction typically aims to aid multilingual scholars in achieving genre-based expe...

Webpages are mainly distinguished by their topic (e.g., politics, sports etc.) and genre (e.g., blogs, homepages, e-shops, etc.). Automatic detection of webpage genre could considerably enhance the ability of modern search engines to focus on the requirements of the user’s information need. In this paper, we present an approach to webpage genre detection based on a fully-automated extraction of...

Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its members. These characteristics typically are related to the instrumentation, rhythmic structure, and harmonic content of the music. Genre hierarchies are commonly used to structure the large collections of music available on the We...

One goal of the VaNTH Engineering Research Center is to estimate the effects of the “value added” to bioengineering student learning as a result of “How People Learn” (HPL) framework interventions. A necessary step in that process is to assess pedagogical differences in both lecture-based and HPL-oriented courses. Data from 28 bioengineering courses, over five semesters, were analyzed using a n...

Practiceled research in classical music has tended to deal with specific and limited case studies, examining detail the ways which one musician?s individual responses a work or genre can lead new understanding of that object, assessing different forms knowledge generated. This project discussion however deals complete corpus created over composer?s lifetime, Bach?s works for clavier, looks at v...

As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on surface cues is as successful as detection b...