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...

Document genres help readers orient themselves when they approach a new document. Once they know a document’s genre, they understand what the document is likely to contain and how they probably can navigate the document. User interfaces also fall into genres that allow users to orient themselves. For instance, Xerox introduced the powerful desktop genre, which facilitated user insight when they...

This paper explores the value of FreeDB as a source of genre and music similarity information. FreeDB is a public, dynamic, uncurated database for identifying and labelling CDs with album, song, artist and genre information. One quality of FreeDB is that there is high variance in, e.g., the genre labels assigned to a particular disc. We investigate here the ability to use these genre labels to ...

This paper explores the possibility of extending the functional genre model to account for non-linear, multi-modal, web-mediated documents. It adds a two-dimensional perspective to the genre analysis model in order to account for the fact that web documents not only act as text but also as medium. A substantial part of the paper is devoted to a discussion of the function of links; mainly becaus...

We argue for a model of document genre that encompasses both linguistic and graphical resources as a means of expression. Two bird books are analysed (1972 and 1996) and a simple framework presented for the description of graphical differentiation of communicative function. The analysis predicts that graphical differentiation in this genre is less in earlier publications. This suggestion is tes...

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...

The study presented in this paper explores the current state of genre evolution on the web through web users’ perception. More precisely, it explores the perception of genres when users are faced not only with prototypical genre exemplars but also with hybrid or individualized web pages, and interpret the subjects’ perception in term of genre evolution Although this exploration is partial (23 l...

The study presented in this paper explores the current state of genre evolution on the web through web users’ perception. More precisely, it explores the perception of genres when users are faced not only with prototypical genre exemplars but also with hybrid or individualized web pages, and interpret the subjects’ perception in term of genre evolution Although this exploration is partial (23 l...

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...