Thursday 1 Dec, 1:15PM, room: G45
Deligiannis Pantazis: Algorithmic Skeletons - Towards a Heterogeneous Future
Synapsis:
Algorithmic skeletons, introduced by M. Cole in his PhD Thesis (1989), are high-level abstractionsthat enable the programmer to achieve parallelisation without having to worry about the associated complexities (e.g., synchronisation, coordination). In this talk I will present common skeletons,explain the advantages of skeletal programming (i.e., structured parallelism) and why they will play a critical role as we are heading towards heterogeneous devices (e.g., clusters of multicores, clouds, GPUs). Finally, I will present what I am working on since I started the PhD this September.
Dimitra Gkatzia: Natural Language Generation from Data
A lot of effort has been made to make machines talk like humans. Spoken dialogue systems, machine translation systems, summarization systems, recommendations systems and many more have been developed and used in several domains, e.g. medicine, weather forecasts, football commentaries, museum artifacts descriptions and others. All the aforementioned systems incorporate a Natural Language Generation (NLG) component in order to produce human language. However, NLG systems require a lot of developmental time and they are domain-specific, therefore their reusability is almost unfeasible.
In this talk, I will discuss about human language generation from data. The goal of these systems is to present the large amounts of unstructured and complex data in an understandable way for humans; human language. I will refer to the architecture of an NLG system, its components, different techniques used and some related systems in literature.
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