Contemporary challenges for enterprise document management (EDM) include managing a mixture of technologies, recognizing the needs of several user roles and groups, and pursuing effective processes utilizing documents in digital form. Responding to these challenges means gathering and scrutinizing organizational metadata describing the organization's information resources. Despite the volume of...

Introduction: Successful language comprehension in elementary school is a key predictor of long-term educational outcomes, and requires adequate skill in both narrative and expository genres (e.g. stories versus science/history material). Historically, expository comprehension has received lower attention in the classroom, resulting in a performance gap between expository and narrative in grade...

Domain adaptation is an active field of research in statistical machine translation (SMT), but so far most work has ignored the distinction between the topic and genre of documents. In this paper we quantify and disentangle the impact of genre and topic differences on translation quality by introducing a new data set that has controlled topic and genre distributions. In addition, we perform a d...

In this paper, we report on a preliminary study we carried out for identifying patterns that characterize the genre type of Greek texts. In the course of our study, we address four distinct genre types, we record their observable stylistic elements and we indicate their exploitation for automatic genre-based document classification. The findings of our study demonstrate that texts contain lexic...

In this chapter, we discuss different options for using genre-related information in Web search. We conduct an experiment on merging genre-related and text-relevance rankings using a reference Web collection. A method for automatic extraction of formality score akin to readability score using canonical discriminant analysis applied to a sample of genres with decreasing formality is proposed. Ef...

This paper proposes shot genre classification from MPEG compressed movies, as one of the high-level indexing methods for audio-visual contents. Through statistical analysis of low-level and mid-level audio-visual features on compressed domain, the proposed method can achieve subjectively accurate shot classification within the movies into predefined genre set, which can be applied to various co...

This paper presents an automatic genre classification model that implements a flexible classification scheme, i.e. a scheme capable of performing zero-, oneor multi-genre assignment. I suggest that this scheme is more appropriate for genres on the web, because many web pages have often more than one genre or none at all. The model that I propose relies on the distinction between the concepts of...

This paper reports on a qualitative study investigating the experience and perspectives of students using English as an international language studying transdisciplinary master’s degrees related to culture industries at Goldsmiths, University of London. The particular focus of this paper concerns their experiences of writing several different genres on their degree programmes, including a categ...

In this paper, we discuss the notion of genre as a basis for addressing the problem of context representation in digital preservation. We outline several reference points for the notion of genre. This includes a review of diplomatic principles that can support and enhance the power of genre as a key to capture information about context relations. Further, we discuss the impact of open genre mod...