We present an online story segmentation approach for Broadcast News (BN) that is built upon and integrated into BBN COTS multilingual Broadcast Monitoring System (BMS). We take a discriminative model-based approach, using Support Vector Machines to segment BN transcriptions into thematically coherent stories within the real-time constraints defined by BMS. We extract lexical, topical and story ...

S'Ve PictS Neuter tells her story in simple yet arresting language, giving a very comprehensive des UI~k man ̂ euter> who was her teacher, her colleague, and finally her husband. Po\ver Qp ? .^'m as an extraordinarily dynamic person, with an unshakable belief in the Hany 0r sP'r'1 over matter. His enthusiasm attracted large numbers of people to him, ^ey?te th ? ^ were prepared to withstand the t...

This paper introduces the class of reflected number systems. Members of this class have the adjacency property, i.e. representations for consecutive numbers differ in only one digit and the magnitude of this difference is one. It shows that every number system based on a positional weighting scheme has a reflected analogue. It presents procedures to convert a number system to its reflected anal...

Previous metaphor studies have paid much attention to nominal and predicative metaphors and little attention has been given to adjective metaphors. Although some studies have focused on adjective metaphors, they have only examined how the acceptability of adjective metaphors can be explained by the pairing of adjective modifier’s and head noun’s modalities and little attention has been given to...

This article discusses the difficulties that arose when attempting to specify and design a large scale digital learning environment for Scottish schools. This had a potential user base of about 1 million users and was intended to replace an existing, under-used system. We found that the potential system users were not interested in engaging with the project and that there were immense problems ...

In this paper, we describe a computational system that generates story analogues based on previous stories. Unlike many previous works on story generation that attempt to produce a story artifact from a set of highlevel specifications, we describe an approach that generates relatively novel stories by transforming existing stories to new contexts. We describe an algorithm for using analogical r...

Stories and story-telling are a cultural achievement of significant relevance, even in modern times. Since ancient times stories have served to entertain and teach mankind to “transmit” knowledge from generation to generation. Story-telling ranges from simple aural narrations to traditional inter-generational discourse and, in modern times, workflow-oriented organizational learning. Web-based s...

In recent decades, functional magnetic resonance imaging (fMRI) has proven to be more effective than the Wada test in the evaluation of language lateralization in special populations such as epileptic patients and children. However, fMRI requires that subjects remain motionless during data acquisition, making the assessment of receptive and expressive language difficult in young children and po...

In this paper, we introduce the concept of Visual Storytelling Warehouse, an interactive XML-based automatic cartoonstyle visual storytelling system to generate new stories based on written story structures and user’s requirements. The Warehouse will consist of the visual and no-visual elements including characters, events, background images, and story plots. Each of these elements will be asso...