A full understanding of text is out of reach of current human language technology. However, a shallow Natural Language Processing (NLP) approach can be used to provide automated help in the assessment of essays: our approach uses genre, cue phrases and a set of patterns. Cue phrases, with their associated semantics, are used in conjunction with patterns to identify categories of argumentation p...

Recent research in music genre classification hints at a glass ceiling being reached using timbral audio features. To overcome this, the combination of multiple different feature sets bearing diverse characteristics is needed. We propose a new approach to extend the scope of the features: We transcribe audio data into a symbolic form using a transcription system, extract symbolic descriptors fr...

We describe the problem of non-topical clustering of documents, the purpose of which is to divide a set of documents into clusters that share some aspect. We present experiments on the British National Corpus that cluster documents by genre. We show that words are superior to part of speech information for genre clustering, but that better results can be obtained by using both. We also demonstr...

Genre provides a characterization of a document with respect to its form or functional trait. Genre is orthogonal to topic, rendering genre information a powerful filter technology for information seekers in digital libraries. However, an efficient means for genre classification is an open and controversially discussed issue. This paper gives an overview and presents new results related to auto...

Music Information Retrieval (MIR) is a multi-disciplinary research area that aims to automate the access to largevolume music data, including browsing, retrieval, storage, etc. The work that we present in this paper tackles a nontrivial problem in the field, namely music genre classification, which is one of the core tasks in MIR. In our proposed approach, we make use of association analysis to...

Studies reveal a strong relationship between personality and preferred musical genre. Our study explored this relationship using a new methodology: genre dispersion among people’s mobile-phone music collections. By analyzing the download behaviours of genre-defined user subgroups, we investigated the following questions: (1) do genre-preferring subgroups show distinct patterns of genre consumpt...

In this article we present research on the development of automatic genre classification systems for resource scarce languages. The main approaches to text classification from literature are presented and weighed against each other during an experimental phase, to identify the most appropriate text classification approach to be used as a genre classification system. A fixed feature set is extra...

A major purpose of an electronic meeting system (EMS) is recording data, which allows the production of an immediate and unbiased report. But reports produced by commercial EMSs have some weaknesses that make difficult the organisational integration of meeting results. In order to contribute to the solution of this problem, it was developed a new system supported in the concept of communication...

Electronic document management (EDM) relates to several modern information technologies. Little research on methods for practical development of EDM exists. Such method, based on the genre theory of organizational communication, was adopted by a team of EDM consultants who used and engineered it further along with their customer cases for developing EDM systems. These experiences were gathered ...

One challenge that many neuroscience instructors face is how to teach students to communicate within the field. The goal of this project was to improve students' scientific writing in an introductory psychology laboratory course that serves as a feeder course into the neuroscience curriculum. This course included a scaffolded approach - breaking assignments into different sections that build up...