Entity

Time filter

Source Type

Donostia / San Sebastián, Spain

Garcia-Pablos A.,Vicomtech 4 Research Center | Cuadros M.,Vicomtech 4 Research Center | Rigau G.,IXA Group
Procesamiento de Lenguaje Natural | Year: 2015

Sentiment analysis is the area of Natural Language Processing that aims to determine the polarity (positive, negative, neutral) contained in an opinionated text. A usual resource employed in many of these approaches are the so-called polarity lexicons. A polarity lexicon acts as a dictionary that assigns a sentiment polarity value to words. In this work we explore the possibility of automatically generating domain adapted polarity lexicons employing continuous word representations, in particular the popular tool Word2Vec. First we show a qualitative evaluation of a small set of words, and then we show our results in the SemEval-2015 task 12 using the presented method. © 2015 Sociedad Española para el Procesamiento del Lenguaje Natural. Source


Szczerbicki E.,University of Newcastle | Grana M.,University of the Basque Country | Posada J.,Vicomtech 4 Research Center | Toro C.,Vicomtech 4 Research Center
Cybernetics and Systems | Year: 2013

The aim of the latest issue of the Cybernetics and Systems journal is to provide guidelines to develop tools for smart processing of knowledge and information. It gives ideas and case studies to explore and the complexities and challenges of modern knowledge management issues. It also encourages the reader to become aware of the multifaceted interdisciplinary character of such issues. The preview of this issue is that the reader will leave it with a heightened ability to think about developing, evaluating implementing, and supporting intelligent knowledge- and information-based management systems in real-life environments in different ways. This Guest Edition is based on some significant contributions provided by one of the most dynamic and innovative conference series in the area, held in Spain in 2012. A paper entitled 'A Hybrid Method for Fuzzy Ontology Integration', introduces a novel concept of combining heuristics and consensus-based conflict resolution for fuzzy ontology integration. Source


Szczerbicki E.,University of Newcastle | Grana M.,University of the Basque Country | Posada J.,Vicomtech 4 Research Center | Toro C.,Vicomtech 4 Research Center
Cybernetics and Systems | Year: 2013

The special edition of Cybernetics and Systems contains selected and reviewed papers that expand significantly on topics covered by some conferences on knowledge engineering and smart knowledge-based systems design and development. The selection enhances efforts toward intelligent systemic approaches researched in this area of new, innovative, and significant developments that can be of great interest to cybernetics and systems science professionals. The authors of the paper titled 'Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems' introduce reflex ontologies (ROs) as a novel approach intended to reduce time consumption problems while providing as a result a fast reaction from ontology-based applications. The presented real-life application is a case study for a knowledge-based clinical decision support system for the diagnosis of Alzheimer's disease. Source


Toro C.,Vicomtech 4 Research Center | Vaquero J.,Vicomtech 4 Research Center | Grana M.,University of the Basque Country | Sanin C.,University of Newcastle | And 2 more authors.
Cybernetics and Systems | Year: 2012

The use of engineering standards in virtual engineering and their potential as models for the specification of a given domain's ontology are arguably unexplored. The importance of domain modeling in virtual engineering deals directly with the potential benefits that the semantic technologies may bring, allowing to discover implicit knowledge that can be beneficial for engineers. This work presents a state-of-the-art review of the technologies used in our approach, a successful case study where our methodology was applied, and the description and results of an experiment designed to provide a quantitative validation of our methodology. Copyright © 2012 Taylor & Francis Group, LLC. Source


Sanchez E.,Vicomtech 4 Research Center | Sanchez E.,Biodonostia Health Research Institute | Sanchez E.,University of the Basque Country | Toro C.,Vicomtech 4 Research Center | And 8 more authors.
Pattern Recognition Letters | Year: 2013

The integration of Clinical Decision Support Systems (CDSS) in nowadays clinical environments has not been fully achieved yet. Although numerous approaches and technologies have been proposed since 1960, there are still open gaps that need to be bridged. In this work we present advances from the established state of the art, overcoming some of the most notorious reported difficulties in: (i) automating CDSS, (ii) clinical workflow integration, (iii) maintainability and extensibility of the system, (iv) timely advice, (v) evaluation of the costs and effects of clinical decision support, and (vi) the need of architectures that allow the sharing and reusing of CDSS modules and services. In order to do so, we introduce a new clinical task model oriented to clinical workflow integration, which follows a federated approach. Our work makes use of the reported benefits of semantics in order to fully take advantage of the knowledge present in every stage of clinical tasks and the experience acquired by physicians. In order to introduce a feasible extension of classical CDSS, we present a generic architecture that permits a semantic enhancement, namely Semantic CDSS (S-CDSS). A case study of the proposed architecture in the domain of breast cancer is also presented, pointing some highlights of our methodology. © 2013 Elsevier B.V. All rights reserved. Source

Discover hidden collaborations