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Conferência de Pablo Gervás


© Cartaz de Rui Silva.

No próximo dia 11 de abril de 2018, pelas 11h30, na Sala Ferreira Lima (6º piso) da Faculdade de Letras da Universidade de Coimbra, Pablo Gervás (Universidade Complutense de Madrid) fará uma conferência intitulada “Searching for Computational Models of Literary Creativity: A 20-year Personal Odyssey”. A visita de Pablo Gervás à Universidade de Coimbra é uma organização conjunta do Programa de Doutoramento em Materialidades da Literatura e do Departamento de Engenharia Informática (DEI) da Universidade de Coimbra. No dia 12 de abril, Pablo Gervás fará uma segunda conferência no DEI, intitulada “Target-Driven Narrative Creativity: Generating Stories with a Purpose”.

Pablo Gervás is Associate Professor at the Department of Software Engineering and Artificial Intelligence of the School of Informatics at the Universidad Complutense de Madrid. He is the director of the NIL research group (Natural Interaction based on Language) and of the Instituto de Tecnología del Conocimiento. Over the years, his research interests have shifted towards studying the role of narrative in human communication, with a view to applying it in human-computer interaction. Besides his generic interest in understanding and modelling language, he tries to tackle computational models of  human creativity. His interests include the following lines of research: Natural language generation, Natural language analysis, NLP for accessibility, and NLP and literary artifacts.


Abstract [DEI talk]

Storytelling is a fundamental human ability, very closely related to recording and communicating past experience. As such, it has been the focus of important research efforts in the AI scientific community. Automated story tellers have been developed that can generate story-like constructs. Some of these storytellers find a way to connect an initial situation to a desired outcome, by relying on planning technologies. Other storytellers simply generate a valid story, without taking into consideration any particular constraint. Although human authors can do both of these things, most instances of storytelling as carried out by humans differ from these extremes. Human authors either tell as a story a set of events that they have observed or make up a story to fulfill a particular purpose. These are options that have not been explored in as much detail within the community researching on computational narratology. Yet they are much closer to the important functions of recording and communicating experience. My talk will  review existing storytelling systems, consider how close they come to implementing these  target-driven modes of storytelling, and what would be required for them to address them better. An important question to consider is whether the addition of constraints on the output to be produced makes creativity more difficult or more likely.

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