TALES, TEXTS AND IMAGES: APPROACHES TO FOLKTALE ILLUSTRATIONS

Creating On-Line Graphical Illustrations for Medical Texts

We present a new approach for connecting textual and graphical information within interactive systems for medical illustration. In contrast to earlier approaches where text is used to label a predeened image, we focus on interaction based on long given texts. Thus our approach resembles work with medical textbooks rather than anatomical atlases. We aim at the creation of images and animations b...

Learning to Extract Folktale Keywords

Manually assigned keywords provide a valuable means for accessing large document collections. They can serve as a shallow document summary and enable more efficient retrieval and aggregation of information. In this paper we investigate keywords in the context of the Dutch Folktale Database, a large collection of stories including fairy tales, jokes and urban legends. We carry out a quantitative...

Folktale Classification Using Learning to Rank

We present a learning to rank approach to classify folktales, such as fairy tales and urban legends, according to their story type, a concept that is widely used by folktale researchers to organize and classify folktales. A story type represents a collection of similar stories often with recurring plot and themes. Our work is guided by two frequently used story type classification schemes. Cont...

Learning to classify a collection of images and texts

A single net system based on Kohonen’s Feature map was trained using a combined vector that contains visual features of an image and its collateral keywords. The performance of the single net was compared with a multinet system, comprising two SOMs, one trained with visual features and the other on keywords, in the presence of a Hebbian network that learns to associate visual features with keyw...

The Folktale: Linking Story to Mathematical Principles