Previous work done in genre recognition and characterization from symbolic sources (monophonic melodies extracted from MIDI files) have pointed our research to the use of classifier ensembles to better accomplish the task. This work presents current research in the use of voting ensembles of classifiers trained on statistical description models of melodies, in order to improve both the accuracy...

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...

Abstract Gender representation in mass media has long been mainly studied by qualitatively analyzing content. This article illustrates how automated computational methods may be used this context to scale up such empirical observations and increase their resolution significance. We specifically apply a face gender detection algorithm on broad set of popular movies spanning more than three decad...

BACKGROUND Considering the higher activity of mirror neuron system in females, they frequently have better performance in empathy, interpersonal sensitivity, and emotional recognition compared to males. OBJECTIVES The purpose of this study was to assess whether gender difference in neuroanatomy of the human mirror neuron system has any impact on functional recovery of ischemic hemiparetic pat...

Complex word identification (CWI) is an important task in text accessibility. However, due to the scarcity of CWI datasets, previous studies have only addressed this problem on Wikipedia sentences and have solely taken into account the needs of non-native English speakers. We collect a new CWI dataset (CWIG3G2) covering three text genres (NEWS, WIKINEWS, and WIKIPEDIA) annotated by both native ...

The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using the Discrete Wavelet Transform and a round-robin classification technique. The wavelet transform is used to extr...

Wedding invitations (WIs), as a uniquely socially and culturally constructed genre, provide a distinct opportunity  to  compare  the  sociocultural values of different  speech  communities  as reflected  in  the  textual  content  and  organization  of  the  different  moves.  Students  can  be exposed  to  this  genre  and  its  different moves  using  a  genre-based  pedagogy. Genre-based ped...

Despite the crucial role of introductory sections in argumentative academic writing, the effects of genre- based approaches to writing introductory paragraphs have not been much explored yet. The present study aimed to investigate whether the provision of genre knowledge through modeling and non-modeling could enhance learners’ ability in writing introductory paragraphs of argumentative essays....

Searching and organizing growing digital music collections requires automatic classification of music. Our system for artist and genre identification uses support vector machines to classify songs based on features calculated over their entire lengths. Since support vector machines are exemplar-based classifiers, training on and classifying entire songs instead of short-time features makes intu...

The vast amount of music available electronically presents considerable challenges for information retrieval. There is a need to annotate music items with descriptors in order to facilitate retrieval. In this paper we present a process for determining the music genre of an item using the Discrete Wavelet Transform and a round -robin classification technique. The wavelet transform is used to ext...