Rafael Muñoz Guillena

• University of Alicante

Webpage: https://knowledge-learning.github.io/ehealthkd-2020/ Datasets and tools: https://github.com/knowledge-learning/ehealthkd-2020/tree/master/data Held as part of the evaluation forum IberLEF in the XXXVI edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2020). September 22-25, 2020. Málaga,...

In this paper we present our contribution for the TREC 2018 Real-Time Summarization track. This task contains two scenarios: push notifications, and email digest. We participated in both, submitting three runs on each one. Our main goal was to evaluate the effectiveness the techniques employed in Social Analytics, a reputation analysis platform, wh...

Purpose The purpose of this paper is to propose a mathematical model to determine invariant sets, set covering, orbits and, in particular, attractors in the set of tourism variables. Analysis was carried out based on an algorithm and applying an interpretation of chaos theory developed in the context of General Systems Theory and Big Data. Design...

The extraction of domain terminology is a task that is increasingly used for different application processes of natural language such as the information recovery, the creation of specialized corpus, question-answering systems, the creation of ontologies and the automatic classification of documents. This task of the extraction of domain terminology...

The extraction of domain terminology is a task that is increasingly used for different application processes of natural language such as the information recovery, the creation of specialized corpus, question-answering systems, the creation of ontologies and the automatic classification of documents. This task of the extraction of domain terminology...

In recent year the great popularity that enjoys mobile technologies has led most users to become consumers and producers of information on the network. Many studies speak about this phenomenon as an activity that is capable of doubling or tripling existing content on an annual basis. The huge amount of information makes the current user oriented sy...

Nowadays, search for documents on the Internet is becoming increasingly difficult. The reason is the amount of content published by users (articles, comments, blogs, reviews). How to facilitate that the users can find their required documents? What would be necessary to provide useful document meta-data for supporting search engines? In this articl...

Justification: Within the strategy of Healthy Universities, the University of Alicante (UA) sets up a project to identify, spread, and boost health assets. It is necessary to give empirical content to Morgan and Ziglio´s proposal to use the model of assets for public health identified by the university community. Objectives: To explore the feasibil...

In this paper, we present a combination of different types of sentiment analysis approaches in order to improve the individual performance of them. These ones consist of (I) ranking algorithms for scoring sentiment features as bi-grams and skip-grams extracted from annotated corpora; (II) a polarity classifier based on a deep learning algorithm; an...

The ATTOS project will be focused on the study and development of Sentiment Analysis techniques. Thanks to such techniques and resources, companies, but also institutions will be better understood which is the public opinion on them and thus will be able to develop their strategies according to their purposes. The final aim of the project is the au...

This paper discusses a system capable of detecting when answers for speciflc ques- tions are supported by snippets, all provided by Question Answering (QA) systems. This task is known as the Answer Validation Exercise (AVE) track within the Cross{ language Evaluation Forum (CLEF). The system uses a set of regular expressions in order to join the qu...

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)....

Resumen In this paper we present a proposal of algorithm for definite descrip-tion resolution through the structure of dialogue defining an anaphoric accessibi-lity space in Spanish. This algorithm is based on the theoretical hypothesis that anaphora resolution and the dialogue structure are related. The definite descrip-tion resolution improve if...

In this paper we present an study about the relationship between the definite description resolution and the structure of dialogues defining an anaphoric accessibility space. This relationship allows to reduce the list of candidates in the resolution process.

This paper describes a method to automat- ically create and maintain gazetteers for Named Entity Recognition (NER). This method extracts the necessary information from linguistic resources. Our approach is based on the analysis of an on-line ency- clopedia entries by using a noun hierarchy and optionally a PoS tagger. An impor- tant motivation is t...

Este artículo presenta un sistema para el reconocimiento del fenómeno de implicación textual basado en conocimiento. El sistema propuesto está compuesto por dos componentes: el primero de ellos deriva las formas lógicas asociadas a un par de fragmentos de texto (denominados texto e hipótesis), y una vez obtenidas, el segundo componente aplica vario...