Juan Meneses Gaviria

We present PhrasIS, a benchmark dataset composed of natural occurring Phrase pairs with Inference and Similarity annotations for the evaluation of semantic representations. The described dataset fills the gap between word and sentence-level datasets, allowing to evaluate compositional models at a finer granularity than sentences. Contrary to other datasets, the phrase pairs are extracted from naturally occurring text in image captions and news headlines. All the text fragments have been annotated by experts following a rigorous process also described in the manuscript achieving high inter annotator agreement. In this work we analyse the dataset, showing the relation between inference labels and similarity scores. With 10K phrase pairs split in development and test, the dataset is an excellent benchmark for testing meaning representation systems.

In this article, the manuscript of Codex Madrid I, Leonardo da Vinci's workshop drawings collection, is reviewed and the main mechanisms that appear in the aforesaid codex are analysed. It begins with a short reference to Leonardo da Vinci works and, subsequently, Leonardo's manuscripts and Codex Madrid I, in particular, are placed in their historical context. After analysing the historical scope of Codex Madrid I, a compilation of the 100 main drawings of the manuscript is made, composing nine Mechanisms Drawings Boxes. Each Mechanisms Drawings Box is a collage made up of 10 to 14 drawings of mechanical elements that appear in Codex Madrid I, with a brief description of each drawing. This compilation illustrates the wide range of mechanical elements and simple mechanisms of Codex Madrid I, forming, as a whole, a complete treatise on mechanisms, understanding mechanisms as basic elements of machines.