What is the current state of the Multilingual Web of Data?

The Semantic Web is growing at a fast pace, recently boosted by the creation of the Linked Data initiative and principles. Methods, standards, techniques and the state of technology are becoming more mature and therefore are easing the task of publication and consumption of semantic information on the Web

Computing missing values in time series

This work presents two algorithms to estimate missing values in time series. The first is the Kalman Filter, as developed by Kohn and Ansley (1986) and others. The second is the additive outlier approach, developed by Pefia, Ljung and Maravall. Both are exact and lead to the same results. However, the first is, in general, faster and the second more flexible

A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing

Restricted non-monotonicity has been shown beneficial for the projective arc-eager dependency parser in previous research, as posterior decisions can repair mistakes made in previous states due to the lack of information. In this paper, we propose a novel, fully non-monotonic transition system based on the non-projective Covington algorithm. As a non-monotonic system requires exploration of erroneous actions during the training process, we develop several non-monotonic variants of the recently defined dynamic oracle for the Covington parser, based on tight approximations of the loss. Experiments on datasets from the CoNLL-X and CoNLL-XI shared tasks show that a non-monotonic dynamic oracle outperforms the monotonic version in the majority of languages.Comment: 11 pages. Accepted for publication at ACL 201

Spectron: Graphical Model for Interacting With Timbre

Los algoritmos para crear y manipular el sonido por medios electrónicos o digitales han crecido en cantidad y complejidad desde la creación de los primeros sintetizadores análogos. Sin embargo, las técnicas para visualizar estos modelos de síntesis no han crecido a la par de los sintetizadores hardware o software. En este artículo se muestran posibilidades para representar y controlar gráficamente el timbre, basadas en la visualización de los parámetros involucrados en su modelo de síntesis. Un grupo de datos muy simple fue extraído de un sintetizador substractivo comercial y analizado con dos aproximaciones diferentes, reducción dimensional y visualización abstracta de datos. Los resultados de estas aproximaciones diferentes fueron usados como lineamientos para crear un prototipo de sintetizador digital: el sintetizador Spectron. Este prototipo usa el gráfico de Amplitud vs. Frecuencia como su principal herramienta para informar a cerca del timbre e interactuar con el, fue desarrollado en PureData y su control plantea una simplificación en la cantidad de variables de un oscilador clásico al mismo tiempo que expande las posibilidades para generar timbres adicionales a los de estos osciladores clásicos.The algorithms for creating and manipulating sound by electronic or digital means have grown in number and complexity since the creation of the first analog synthesizers. The techniques for visualizing these synthesis models have not increasingly grown with synthesizers, neither in hardware nor in software. In this paper, the possibilities to graphically represent and control timbre are presented, based on displaying the parameters involved in its synthesis model. A very simple data set was extracted from a commercial subtractive synthesizer and analyzed in two different approaches, dimensionality reduction and abstract data visualization. The results of these two different approaches were used as leads to design a synthesizer prototype: the Spectron synthesizer. This prototype uses an Amplitude vs. Frequency graphic as it´s main interface to give information about the timbre and to interact with it, it´s control offers a simplification in the amount of variables of a classic oscillator and expands its possibilities to generate additional timbre