introduction How genre is understood and configured in analyses of disciplinary texts and discourses is key to understanding the nature of student work in the disciplines. The question of genre is also intimately linked to what we know about expert texts in a discipline. These relationships have been studied for some time in France, first through traditional-formalist frames of text types and m...

In this paper, we propose a new video genre detection using semantic classification with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. From the low-level multimodal features, genre as high-level semantic meaning is detected by using GINI index in Classification And Regression Tree (CART) algorithm. Experimental results show that the proposed method is u...

A friend of mine in the UK Paddy Walsh has passed on to me your recent ruminations on “How genre theory saved the world”. I note that Paddy is a former subject English teacher and SNS English consultant, and familiar with work done using genre theory in the UK. As I was one of the genre theorists with whom you exchanged articles in English in Australia a good many years ago, I thought I might r...

The article under studies deals with the issue of comparative aspects genre. Particular emphasis has been placed on genre form (in sense a characteristic matrix/canon as complex specific factors), which functions in terms continuous literary process and, accordingly, adapts to its contextual changes, deviations, objections, innovations, correlations, needs receptive environment. author’s and re...

In “The Death of Genre: Why the Best YA fiction Often Defies Classification” (The ALAN Review, 35.1: 43-50), Scot Smith speaks of having to constantly reclassify and reshuffle texts as he and his students consider the books on the genre lists used in his classes. Knowing that “Young adult literature has a long tradition of authors whose works defy genre classification” (43), he mulls over the i...

We describe a system for automatic chord transcription from the raw audio using genre-specific hidden Markov models trained on audio-from-symbolic data. In order to avoid enormous amount of human labor required to manually annotate the chord labels for ground-truth, we use symbolic data such as MIDI files to automate the labeling process. In parallel, we synthesize the same symbolic files to pr...

Any automatic music genre recognition (MGR) system must show its value in tests against a ground truth dataset. Recently, the public dataset most often used for this purpose has been proven problematic, because of mislabeling, duplications, and its relatively small size. Another dataset, the Million Song Dataset (MSD), a collection of features and metadata for one million tracks, unfortunately ...

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...

The concept of genre is as old as literary theory itself, but centuries of debate haven’t produced much consensus on the topic. Part of the reason is that genre looks like a different thing at different points in the life of a text. Scholars of rhetoric tend to focus on the patterns of communicative action that produce memoranda or tragedies (Devitt 2004; Miller 1984). Sociologists are sometime...

The dynamic nature of web and with the increase of the number of web pages, it is very difficult to search required web pages easily and quickly out of thousands of web pages retrieved by a search engine. The solution to this problem is to classify the web pages according to their genre. Automatic genre identification of web pages has become an important area in web page classification, because...