abstract genre-based approach has been the focus of interest in the teaching of language since the mid1980s. genre is defined in terms of the use of language in conventionalized communicative settings. the present study made an attempt to scrutinize the effects of genre-based pedagogy on iranian pre-intermediate efl leaners' reading comprehension as well as the interaction between their re...

Interacting with documents in the digital domain is challenging many of our notions about discourse and its boundaries. Hyperlinked documents on the World Wide Web defy easy categorization and evaluation — making the role and value of digital documents difficult to assess. Most importantly, in such fluid and complex environments it is difficult to understand the nature of the interaction betwee...

In order to represent musical content, pitch and timing information is utilized in the majority of existing work in Symbolic Music Information Retrieval (MIR). Symbolic representations such as MIDI allow the easy calculation of such information and its manipulation. In contrast, most of the existing work in Audio MIR uses timbral and beat information, which can be calculated using automatic com...

The classification of speech genre is not yet an established task in language technologies. However we believe that it is a task that will become fairly important as large amounts of audio (and video) data become widely available. The technological cability to easily transmit and store all human interactions in audio and video could have a radical impact on our social structure. The major open ...

The project discussed in this article focuses on the creation of web genre benchmarks (a.k.a. web genre reference corpora or web genre test collections), i.e. newly conceived test collections against which it will be possible to judge the performance of future genre-enabled web applications. The creation of web genre benchmarks is of key importance for the next generation of web applications be...

Over the last two decades, the cultural and cognitive artifacts that information and communication technologies circulate have become entangled with human and technical actors to the point of inseparability. These entanglements are primarily driven by the proliferation and wide adoption of online and mobile technologies. As a result, we discern the migration of previously physical artifacts to ...

Applications of Convolutional Neural Networks (CNNs) to various problems have been the subject of a number of recent studies ranging from image classification and object detection to scene parsing, segmentation 3D volumetric images and action recognition in videos. CNNs are able to learn input data representation, instead of using fixed engineered features. In this study, the image model traine...

This paper discusses a new approach for clustering musical bass-line patterns representing particular genres and its application to audio genre classification. Many musical genres are characterized not only by timbral information but also by distinct representative bass-line patterns. So far this kind of temporal features have not so effectively been utilized. In particular, modern music songs ...

Electronic patient records, including the Emergency Department (ED) Triage Note (TN), provide a rich source of textual information. Processing clinical texts to create important pieces of structured information will be useful to clinicians treating patients, clinicians in training, and researchers and practitioners in biosurveillance. This work applies natural language processing (NLP) and info...