Evaluating knowledge-based approaches to the multilingual extension of a temporal expression normalizer

The extension to new languages is a well known bottleneck for rule-based systems. Considerable human effort, which typically consists in re-writing from scratch huge amounts of rules, is in fact required to transfer the knowledge available to the system from one language to a new one. Provided sufficient annotated data, machine learning algorithms allow to minimize the costs of such knowledge transfer but, up to date, proved to be ineffective for some specific tasks. Among these, the recognition and normalization of temporal expressions still remains out of their reach. Focusing on this task, and still adhering to the rule-based framework, this paper presents a bunch of experiments on the automatic porting to Italian of a system originally developed for Spanish. Different automatic rule translation strategies are evaluated and discussed, providing a comprehensive overview of the challenge.

A knowledge-based textual entailment approach applied to the QA answer validation at CLEF 2006

The Answer Validation Exercise (AVE) is a pilot track within the Cross-Language Evaluation Forum (CLEF) 2006. The AVE competition provides an evaluation frame- work for answer validations in Question Answering (QA). In our participation in AVE, we propose a system that has been initially used for other task as Recognising Textual Entailment (RTE). The aim of our participation is to evaluate the improvement our system brings to QA. Moreover, due to the fact that these two task (AVE and RTE) have the same main idea, which is to find semantic implications between two fragments of text, our system has been able to be directly applied to the AVE competition. Our system is based on the representation of the texts by means of logic forms and the computation of semantic comparison between them. This comparison is carried out using two different approaches. The first one managed by a deeper study of the Word- Net relations, and the second uses the measure defined by Lin in order to compute the semantic similarity between the logic form predicates. Moreover, we have also designed a voting strategy between our system and the MLEnt system, also presented by the University of Alicante, with the aim of obtaining a joint execution of the two systems developed at the University of Alicante. Although the results obtained have not been very high, we consider that they are quite promising and this supports the fact that there is still a lot of work on researching in any kind of textual entailment.

Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC

Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization. Different RANdom SAmple Consensus (RANSAC)-based methods have been proposed for this purpose in recent years. In this study, we propose a novel method-based on RANSAC called Multiplane Model Estimation, which can estimate multiple plane models simultaneously from a noisy point cloud using the knowledge extracted from a scene (or an object) in order to reconstruct it accurately. This method comprises two steps: first, it clusters the data into planar faces that preserve some constraints defined by knowledge related to the object (e.g., the angles between faces); and second, the models of the planes are estimated based on these data using a novel multi-constraint RANSAC. We performed experiments in the clustering and RANSAC stages, which showed that the proposed method performed better than state-of-the-art methods.

Forensic analysis of buildings affected by mining subsidence based on Differential Interferometry (Part III)

This work presents a forensic analysis of buildings affected by mining subsidence, which is based on deformation data obtained by Differential Interferometry (DInSAR). The proposed test site is La Union village (Murcia, SE Spain) where subsidence was triggered in an industrial area due to the collapse of abandoned underground mining labours occurred in 1998. In the first part of this work the study area was introduced, describing the spatial and temporal evolution of ground subsidence, through the elaboration of a cracks map on the buildings located within the affected area. In the second part, the evolution of the most significant cracks found in the most damaged buildings was monitored using biaxial extensometric units and inclinometers. This article describes the work performed in the third part, where DInSAR processing of satellite radar data, available between 1998 and 2008, has permitted to determine the spatial and temporal evolution of the deformation of all the buildings of the study area in a period when no continuous in situ instrumental data is available. Additionally, the comparison of these results with the forensic data gathered in the 2005–2008 period, reveal that there is a coincidence between damaged buildings, buildings where extensometers register significant movements of cracks, and buildings deformation estimated from radar data. As a result, it has been demonstrated that the integration of DInSAR data into forensic analysis methodologies contributes to improve significantly the assessment of the damages of buildings affected by mining subsidence.

Guión de la excursión a la Cordillera Ibérica de la asignatura de Geología Histórica y Regional

Esta guía surge como documento complementario al campamento de prácticas de campo de la asignatura de Geología Histórica y Regional del Grado de Geología de la Universidad de Alicante. El objetivo principal de este campamento es el conocimiento de los materiales sedimentarios del Paleozoico, Triásico y Jurásico de la Cordillera Ibérica.

Urban environmental degradation and the standard of living: the case of the Spanish mining industry (1870–1930)

This paper analyses the consequences of urban environmental degradation on the well-being of Spanish miners. It is based on analyses of differences in mortality and height. The first part of the paper examines new hypotheses regarding the urban penalty. We take into consideration existing works in economic theory that address market failures when analysing the higher urban death rate. We explain the reduction in height using the model recently created by Floud, Fogel, Harris and Hong for British cities. The second part of the paper presents information demonstrating that the urban areas in the two largest mining areas in Spain (Bilbao and the Cartagena-La Unión mountain range) experienced a higher death rate relative to rural areas as a consequence of market failures derived from what we term an ‘anarchic urbanisation’.

Educación Mediática e InteRmetodología Relacional aplicada a los MOOC

En el contexto actual de innovación tecnológica aparecen nuevas necesidades de aprendizaje y cobran particular relevancia los procesos pedagógicos. Los MOOC se posicionan como una alternativa educacional disruptiva y como puntos de encuentro educomunicativos abiertos a todos, a través de los cuales podemos acceder a esa inteligencia distribuida y accesible en la Red en la que formar redes relacionales externas e internas y tejer una construcción de conocimiento, a partir de nuevas ideas y de la inteligencia colectiva que se produce. Desde una perspectiva teórica, abordamos la acción educomunicativa inherente a los MOOC, partiendo de la necesidad de implementar una inteRmetodología, en la que el Factor Relacional sea determinante, que disponga de estrategias y prácticas para englobar a los discentes en sus diversas dimensiones, con el objetivo de construir conocimiento común en relación y conexión, desde una reflexión encaminada a la acción y participación, para llegar a una praxis holística.