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From Rapacious Wolfs to Independent Women: Cultural Transmission of Little Red Riding Hood.
In his lecture, Folgert Karsdorp presents new perspectives on the structure and development of story networks. A story network, defined as a non-hierarchical agglomeration of pre-textual relationships, represents a stream of retellings in which retellers modify and adapt retellings in a gradual and accumulative way. I investigate the development of the world's biggest fairy tale icon: Little Red Riding Hood. No story has been retold, reinterpreted, recontextualized and reconfigured as often as the story about the little girl in red who meets a wolf in the forest. On the basis of a large collection of Dutch retellings of the story, I show that the evolution of its story network is largely determined by two random mechanisms of selection: cultural prominence and temporal attractiveness.Find out more »
Applying Heuristic Search Technology for Constrained Paraphrasing.
To paraphrase means to rewrite content whilst preserving the original meaning. Paraphrasing is important in fields such as text reuse in journalism, anonymising work, and improving the quality of customer-written reviews, among other. Paraphrasing is often considered as an analysis problem - asking the following question: Are these two sentences (paragraphs) paraphrases?Find out more »
The Future of the Book and the Books of the Future.
In her talk, Bordalejo will discuss issues relating to publishing, eReaders and multimedia books.Find out more »
How to Make it Stick: A Study of Long-Term Musical Memorability Using Citizen Science.
Psycholinguist Steven Pinker once described music as being ‘auditory cheesecake’, similar to pornography and alcohol. Indeed, human beings do not seem to get enough of it. Music can be enchanting, annoying and intriguing. It helps us to concentrate or forget, it can make us jubilant or melancholic. Some songs, the so-called ‘earwigs’, can haunt us for days. These earwigs in particular are the subject of the upcoming talk. Our speaker will discuss what makes songs stick (i.e. what makes them ‘catchy’) by computationally analysing song structure and music recognition patterns by humans.Find out more »