This paper gives a brief description on the methods adopted for the task of author-profiling as part of the competition PAN 2016 [1]. Author profiling is the task of predicting the author’s age and gender from his/her writing. In this paper, we follow a two-level ensemble approach to tackle the cross-genre author profiling task where training documents and testing documents are from different g...

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...

In recent years, there has been an increasing amount of literature on genre-based approaches to writing instruction. However, scant attention has been paid to the use of genre-based scaffolding in the realm of academic writing. Hence, in an attempt to tackle the problems prevalent in academic writing, this study set out to investigate the effect of genre-based scaffolding through sentence start...

The present study investigated the effect of single and multiple genre movies on listening comprehension of upper intermediate language learners. To this end, a language proficiency test was administered to 40 male and female postgraduates of different majors attending International English Language Testing System (IELTS) classes and ultimately 25 upper intermediate language learners were selec...

In this work we consider distance-based approaches to music recommendation, relying on an explicit set of music tracks provided by the user as evidence of his/her music preferences. Firstly, we propose a purely content-based approach, working on low-level (timbral, temporal, and tonal) and inferred high-level semantic descriptions of music. Secondly, we consider its simple refinement by adding ...

A web page is a complex document which can share conventions of several genres, or contain several parts, each belonging to a different genre. To properly address the genre interplay, a recent proposal in automatic web genre identification is multi-label classification. The dominant approach to such classification is to transform one multi-label machine learning problem into several sub-problem...

abstract the present study examined the effect of genre-based tasks on efl learners' speaking performance and probed whether genre-based tasks may empower efl learners to perform better on speaking tests. a further concern of the study was to explore whether the effect of genre-based tasks on speaking ability of efl learners varied across different age groups, i.e. teenagers (13-16 years o...

New music genres emerge constantly resulting from the influence of existing genres and other factors. In this paper we propose a data-driven approach which is able to cluster and classify music samples according to their type/category. The clustering method uses no previous knowledge on the genre of the individual samples or on the number of genres present in the dataset. This way, music taggin...

Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocab...