POS tagging and dependency parsing achieve good results for homogeneous datasets. However, these tasks are much more difficult on heterogeneous datasets. In (Mukherjee et al., 2016, 2017), we address this issue by creating genre experts for both POS tagging and parsing. We use topic modeling to automatically separate training and test data into genres and to create annotation experts per genre ...

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...

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...

In this paper, music genre classification is addressed in a multilinear perspective. Inspired by a model of auditory cortical processing, multiscale spectro-temporal modulation features are extracted. Such spectro-temporal modulation features have been successfully used in various content-based audio classification tasks recently, but not yet in music genre classification. Each recording is rep...

Recently, with the construction of digital music libraries, it is important to efficiently manage a large music database. It will be helpful to provide a content-based music genre classification system for managing a large database. Therefore, in this paper we will propose two novel music features, low-frequency energy ratio (LFER) and energy domain signal coding (EDSC), for music genre classif...

We argue for a systematic analysis of one particular, well structured domain—academic Web pages—with regard to a special class of digital genres: Web genres. For this purpose, we have developed a database-driven system that will ultimately consist of more than 3 000 000 HTML documents, written in German, which are the empirical basis for our research. We introduce the notions of Web genre type ...

Music genres can be seen as categorical descriptions used to classify music basing on various characteristics such as instrumentation, pitch, rhythmic structure, and harmonic contents. Automatic music genre classification is important for music retrieval in large music collections on the web. We build a classifier that learns from very few labeled examples plus a large quantity of unlabeled dat...

This paper will examine Bakhtin’s theory that a genre’s unity is defined by its chronotope [Bakhtin, M. M. (1981). Forms of time and of the chronotope in the novel. In M. Holquist (Ed.), The dialogic imagination: Four essays (pp. 84–258). Austin: University of Texas Press] and assume that, if this is true, the rhetorical unity within a specific genre could also be defined by its chronotope. Cen...

Purpose: This article introduces the Special Issue on Genres of Digital Documents. While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given dis...

Purpose – To introduce the special issue on “Genres of digital documents.” While there are many definitions of genre, most include consideration of the intended communicative purpose, form and sometimes expected content of a document. Most also include the notion of social acceptance, that a document is of a particular genre to the extent that it is recognized as such within a given discourse c...