Jesús Peral

• University of Alicante

The field of human activity recognition has evolved significantly, driven largely by advancements in Internet of Things (IoT) device technology, particularly in personal devices. This study investigates the use of ultra-wideband (UWB) technology for tracking inhabitant paths in home environments using deep learning models. UWB technology estimates...

Background: Human Emotion Recognition (HER) has been a popular field of study in the past years. Despite the great progresses made so far, relatively little attention has been paid to the use of HER in autism. People with autism are known to face problems with daily social communication and the prototypical interpretation of emotional responses, wh...

In this article, we present CuentosIE (TalesEI: chatbot of tales with a message to develop Emotional Intelligence), an educational chatbot on emotions that also provides teachers and psychologists with a tool to monitor their students/patients through indicators and data compiled by CuentosIE. The use of ''tales with a message'' is justified by the...

Autism Spectrum Disorder (ASD) is a developmental disability primarily characterized by challenges in social interaction and communication. Due to the unknown etiology of ASD, numerous computational psychiatry research studies have been carried out to identify pertinent features and uncover hidden correlations to detect this type of disability at a...

The ageing of today’s society, according to demographic and epidemiological data, presents a significant increase in the elderly population. Following the experienced pandemic, research in telemedicine to improve the lives of elderly people through a comprehensive program developed by multidisciplinary teams has become a top priority. This enables...

The problem of lack of data remains a major drawback regardless of the continuous evolution of machine learning and deep learning models. This paper presents a modular and scalable architecture for the prediction and treatment of autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). With this architecture, therapists w...

The scientific and technological evolution that has taken place in the field of human activity recognition, while enormous, is possibly only the tip of the iceberg of the possibilities that we are currently facing and will continue to experience in the foreseeable future. Much of this innovation has also been driven by the rise of IoT technology at...

The importance of data security is currently increasing owing to the number of data transactions that are continuously taking place. Large amounts of data are generated, stored, modified and transferred every second, signifying that databases require an appropriate capacity, control and protection that will enable them to maintain a secure environm...

Different fields such as linguistics, teaching, and computing have demonstrated special interest in the study of sign languages (SL). However, the processes of teaching and learning these languages turn complex since it is unusual to find people teaching these languages that are fluent in both SL and the native language of the students. The teachin...

The study of sign languages (SL) has generated great interest in the fields of linguistics, computing and teaching. Teaching and learning SL are complex tasks, since they are rarely taught by people who are fluent both in SL and the native language of the students. These lessons taught by deaf people are irreplaceable, but it is appropriate for the...

NoSQL technologies have become a common component in many information systems and software applications. These technologies are focused on performance, enabling scalable processing of large volumes of structured and unstructured data. Unfortunately, most developments over NoSQL technologies consider security as an afterthought, putting at risk pers...

Nowadays, artificial intelligence techniques are applied in many fields such as industry, natural language processing, or medicine. In this chapter, we have focused on the health area. Within the field of health, artificial intelligence acts in different ways, from predicting any type of disease or dysfunctions in order to establish correlations be...

With patients demanding services to control their own health conditions, hospitals are looking to build agility in delivering care by extending their reach into patient and partner ecosystems and sharing relevant patient data to support care continuity. However, sharing patient data with several external stakeholders outside a hospital network call...

The study of phonological proximity makes it possible to establish a basis for future decision-making in the treatment of sign languages. Knowing how close a set of signs are allows the interested party to decide more easily its study by clustering, as well as the teaching of the language to third parties based on similarities. In addition, it lays...

User-generated content about brands is an important source of big data that can be transformed into valuable information. A huge number of items are reviewed and rated by consumers on a daily basis, and managers have a keen interest in real-time monitoring of this information to improve decision-making. The main challenge is to mine reliable textua...

About 15% of the world’s population suffers from some form of disability. In developed countries, about 1.5% of children are diagnosed with autism. Autism is a developmental disorder distinguished mainly by impairments in social interaction and communication and by restricted and repetitive behavior. Since the cause of autism is still unknown, ther...

Nowadays, the increasing demand of water for electricity production, agricultural and industrial uses are directly affecting the reduction of available quality water for human consumption in the world. Efficient and sustainable maintenance of water reservoirs and supply networks implies a holistic strategy that takes into account, as much as possib...

Automatic word sense disambiguation (WSD) from text is a task of great importance in various applications of natural language processing, for example, in machine translation, question answering, automatic summarization or sentiment analysis. There are different approaches to finding the meaning of a word within a context, whether using supervised,...

Nowadays, firms have realized the importance of Big Data, highlighting the need for understanding the current state of marketing practice with respect to Big Data analytics. Among the different sources of Big Data, User-Generated Content (UGC) is one of the most important ones. From blogs to social media and online reviews, consumers generate huge...

Sign languages (SL) are the first language for most deaf people. Consequently, bidirectional communication among deaf and non-deaf people has always been a challenging issue. Sign language usage has increased due to inclusion policies and general public agreement, which must then become evident in information technologies, in the many facets that c...

Most organisations using Open Data currently focus on data processing and analysis. However, although Open Data may be available online, these data are generally of poor quality, thus discouraging others from contributing to and reusing them. This paper describes an approach to publish statistical data from public repositories by using Semantic Web...

Companies have realized the importance of “big data” in creating a sustainable competitive advantage, and user-generated content (UGC) represents one of big data’s most important sources. From blogs to social media and online reviews, consumers generate a huge amount of brand-related information that has a decisive potential business value for mark...

[This corrects the article DOI: 10.1371/journal.pone.0215288.].

New information and communication technologies have contributed to the development of the smart city concept. On a physical level, this paradigm is characterised by deploying a substantial number of different devices that can sense their surroundings and generate a large amount of data. The most typical case is image and video acquisition sensors....

The accessing and processing of textual information (i.e. the storing and querying of a set of strings) is especially important for many current applications (e.g. information retrieval and social networks), especially when working in the fields of Big Data or IoT, which require the handling of very large string dictionaries. Typical data structure...

E-Learning is a response to the new educational needs of society and an important development in Information and Communication Technologies (ICT) because it represents the future of the teaching and learning processes. However, this trend presents many challenges, such as the processing of online forums which generate a huge number of messages with...

E-Learning is a response to the new educational needs of society and an important development in Information and Communication Technologies. However, this trend presents many challenges, such as the lack of an architecture that allows a unified management of heterogeneous string dictionaries required by all the users of e-learning environments, whi...

Big Data is becoming a prominent trend in our society. Ever larger amounts of data, including sensitive and personal information, are being loaded into NoSQL and other Big Data technologies for analysis and processing. However, current security approaches do not take into account the special characteristics of these technologies, leaving sensitive...

Current trends in medicine regarding issues of accessibility to, and quantity and quality of information and QoS (Quality of Service) are very different compared to former decades. The current state requires new methods for addressing the challenge of dealing with enormous amounts of data present, and growing, on the Web and other heterogeneous dat...

p class="33">Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the processing of online forums when a huge num...

Currently dashboards are the preferred tool across organizations to monitor business performance. Dashboards are often composed of different data visualization techniques, amongst which are Key Performance Indicators (KPIs) which play a crucial role in quickly providing accurate information by comparing current performance against a target required...

Currently dashboards are the preferred tool across organizations to monitor business performance. Dashboards are often composed of different data visualization techniques, amongst which are Key Performance Indicators (KPIs) which play a crucial role in quickly providing accurate information by comparing current performance against a target required...

The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper...

Irresponsible and negligent use of natural resources in the last five decades has made it an important priority to adopt more intelligent ways of managing existing resources, especially the ones related to energy. The main objective of this paper is to explore the opportunities of integrating internal data already stored in Data Warehouses together...

Currently dashboards are the preferred tool across organizations to monitor business performance. Dashboards are often composed by different data visualization techniques, amongst which Key Performance Indicators (KPIs) play a crucial role in facilitating quick and precise information by comparing current performance against a target required to fu...

Decision support systems (DSS) support business or organizational decision-making activities, which require the access to information that is internally stored in databases or data warehouses, and externally in the Web accessed by Information Retrieval (IR) or Question Answering (QA) systems. Graphical interfaces to query these sources of informati...

Business Intelligence (BI) applications allow their users to query, understand, and analyze existing data within their organizations in order to acquire useful knowledge, thus making better strategic decisions. The core of BI applications is a Data Warehouse (DW), which integrates several heterogeneous structured data sources in a common repository...

During the past decades the resources have been used of an irresponsible and negligent manner. This has led to an increasing necessity of adopting more intelligent ways to manage the existing resources, specially the ones related to energy. In this regard, one of the main aims of this paper is to explore the opportunities of using ICT (Information...

Currently there are an overwhelming number of scientific publications in Life Sciences, especially in Genetics and Biotechnology. This huge amount of information is structured in corporate Data Warehouses (DW) or in Biological Databases (e.g. UniProt, RCSB Protein Data Bank, CEREALAB or GenBank), whose main drawback is its cost of updating that mak...

The main objective of this project is based on the need to reconsider the clasical HLT philosophy to adapt it, not only to the currently available resources (unstructured data with multimodality, multilinguality and different levels of formality) but also to the real needs of the final users. In order to reach this objective it is necessary to incl...

El objetivo de este proyecto se basa en la necesidad de replantearse la filosofía clásica del TLH para adecuarse tanto a las fuentes disponibles actualmente (datos no estructurados con multi-modalidad, multi-lingualidad y diferentes grados de formalidad) como a las necesidades reales de los usuarios finales. Para conseguir este objetivo es necesari...

This paper evaluates the different tasks carried out in the translation of pronominal anaphora in a machine translation (MT) system. The MT interlingua approach named AGIR (Anaphora Generation with an Interlingua Representation) improves upon other proposals presented to date because it is able to translate intersentential anaphors, detect co-refer...

Business Intelligence (BI) applications allow their users to query, understand, and analyze existing data within their organizations in order to acquire useful knowledge, thus making better decisions. The core of BI applications is a data warehouse (DW) which integrates several heterogeneous data sources, mainly structured transactional databases....

This paper deals with the AliQAn QA system in the multilingual (English - Spanish) task. It highlights the translation module of the QA system by applying two methods: the first one based on logic forms, and the other on machine translation techniques. Moreover, the system is able to solve the anaphora resolution problem by applying linguistic tech...

This paper describes the participation of the system AliQAn in the CLEF 2008 Spanish monolingual QA task. This time, the main goals of the current version of AliQAn were to deal with topic-related questions and to decrease the number of inexact answers. We have also explored the use of the Wikipedia corpora, which have posed some new challenges for...

This paper describes the participation of the system AliQAn, a monolingual opendomain Question Answering (QA) System developed in the Department of Language Processing and Information System at the University of Alicante, in the CLEF-2008 Spanish monolingual QA evaluation task. Here, we focus on explaining a couple of strong points of the current v...

In QA@CLEF 2008, we participate in monolingual (Spanish) and multilingual (English - Spanish) tasks. Specifically, in this paper, we will tackle with the English - Spanish QA task. In this edition we will deal with two main problems: an heterogeneous document collection (news articles and Wikipedia) and a large number of topic-related questions, wh...

This work describes an inference mechanism applied to AliQAn Question Answering System for Spanish in open domain. AliQAn is based fundamentally on the use of syntactic patterns to identify the possible answers. An inference mechanism is applied to the questions set of economic type. In this way, our system improves the accuracy of this question ty...

In this paper, a novel model for monolingual Information Retrieval in English and Spanish language is proposed. This model uses Natural Language Processing techniques (a POS-tagger, a Partial Parser, and an Anaphora Resolver) in order to improve the precision of traditional IR systems, by means of indexing the “entities” and the “relations” between...

Question Answering is a major research topic at the University of Alicante. For this reason, this year two groups participated in the QA@CLEF track using different approaches. In this paper we describe the work of Alicante 2 group. This paper describes AliQAn, a monolingual open-domain Question Answering (QA) System developed in the Department of L...

A previous version of AliQAn participated in the CLEF 2005 Spanish Monolingual Question Answering task. For this year’s run, to the system are added new and representative patterns in question analysis and extraction of the answer. A new ontology of question types has been included. The inexact questions have been improved. The information retrieva...

This paper describes the BRILI Cross-lingual Question Answering (CL-QA) system. The BRILI system is capable to answer English questions from Spanish documents. It has partici-pated in the 2006 edition of the Cross-Language Evaluation Forum (CLEF). Some new characteris-tics in BRILI are described, especially the strategy used for the question proces...

An initial version of AliQAn participated in the CLEF-2005 Spanish Monolingual Ques- tion Answering task. AliQAn has been improved and it has better results than last year. The system ofiers new and representative patterns in question analysis and extraction of the answer. A new ontology of questions types has been included. The inexact questions h...

One of the important processing steps for many natural language systems (information extraction, question answering, etc.) is Part-of-speech (PoS) tagging. This issue has been tackled with a number of different approaches in order to resolve this step. In this paper we study the functioning of a Hidden Markov Models (HMM) Spanish PoS tagger using a...

We propose a model for monolingual Information Retrieval in English and Spanish languages. This model uses Natural Language Processing techniques and resources (a POS-tagger. a Partial Parser, an Anaphora Resolver. and WordNet) in order to improve the precision of traditional IR systems. indexing the entities and the relations between these entitie...

In this paper, a novel model of indexation in IR is proposed, in order to overcome the problems of traditional bag of words approaches, by means of indexing the "entities" and the "relations" between these entities in the documents through the clauses and anaphoric relations. This model has been evaluated on the Los Angeles Times collection. The ob...

One of the main problems of many commercial Machine Translation (MT) and experimental systems is that they do not carry out a correct pronominal anaphora generation.

In this paper, a computational approach for resolving zero-pronouns in Spanish texts is proposed. Our approach has been evaluated with partial parsing of the text and the results obtained show that these pronouns can be resolved using similar techniques that those used for pronominal anaphora.

In this paper the pronominal anaphora generation module of a complete interlingua Machine Translation (MT)approach is presented. The approach named AGIR (Anaphora Generation with an Interlingua Representation ) allows the generation of anaphoric expressions into the target language from the interlingua representation of the source text. AGIR uses d...

This paper presents the pronominal anaphora generation module in a Machine Translation (MT) system. The MT interlingua approach -AGIR (Anaphora Generation with an Interlingua Representation) - allows the generation of anaphoric expressions into the target language from the interlingua representation of the source text. AGIR uses different kinds of...

This paper presents an interlingua approach of a Machine Translation (MT) system that allows the pronominal anaphora generation into the target language. Our system improves other proposals presented so far due to the fact that it is able to generate intersentential anaphora, to detect coreference chains and to generate Spanish zero pronouns, issue...

This paper presents an algorithm for identifying noun phrase antecedents of third person personal pronouns, demonstrative pronouns, reflexive pronouns, and omitted pronouns (zero pronouns) in unrestricted Spanish texts. We define a list of constraints and preferences for different types of pronominal expressions, and we document in detail the impor...

It is widely agreed that anaphora and ellipsis resolution is an important problem that is still to be solved in Natural Language Processing systems, such as Machine Translation and Information Extraction applications. Zero-pronouns are a special kind of anaphora, whose resolution also lies in ellipsis phenomenon since they do not appear explicitly...

In this paper, we present the Interlingua system ISS to generate the pronominal anaphora into the Spanish and English languages. We also describe the main problems in the pronoun generation into both languages such as zero-subject constructions and number, gender and syntactic differences. Our system improves other proposals presented so far due to...

In this paper, a computational approach for resolving zero-pronouns in Spanish texts is proposed. Our approach has been evaluated with partial parsing of the text and the results obtained show that these pronouns can be resolved using similar techniques that those used for pronominal anaphora. Compared to other well-known baselines on pronominal an...

En este trabajo presentamos un sistema automático de extracción de reglas sintácticas a partir de un corpus etiquetado con sus categorías gramaticales. Planteamos un sistema de definición de patrones sintácticos sencillo que es capaz de identificar las construcciones sintácticas de sintagmas nominales, sintagmas preposicionales y sintagmas verbales...

In this paper we present an automatic mechanism for bilingual (Spanish-English) alignment of anaphoric expressions. For this purpose, two anaphora resolution systems were used. Both are based on linguistic preferences and constraints, for Spanish (SUPPAR) and for English (MARS). These systems have been independently developed and each of them is pr...

In this paper, an Interlingua mechanism called Interlingua Slot Structure (ISS) due to the fact that it is based on Slot Structure (SS) presented in Ferrández et al. (1997a, 1997b), is proposed. SS stores the lexical, syntactic, morphologic and semantic information of every constituent of the grammar. The mechanism ISS allows to carry out translati...

Resumen El objetivo general de las aplicaciones de inteligencia empresarial (Business Intelligence, a partir de ahora BI) es permitir a sus usuarios entender y analizar los datos existentes en sus organizaciones para adquirir conocimientó util y lograr así una mejor toma de decisiones. El corazón de las aplicaciones de BI son los almacenes de datos...

La finalidad de este artículo consiste en analizar los efectos de aplicar técnicas de resolución de la anáfora pronominal en Sistemas de Búsqueda de Respuestas sobre dominios no restringidos (open domain Question Answering Systems - QA). Para ello, se ha implementado un sistema completo de QA y se analiza cómo varía su comportamiento al resolver la...

En este trabajo presentamos aportaciones a la resolución de la extraposición a izquierdas que ocurre en las oraciones de relativo por medio de un formalismo lógico basado en restricciones, que es una extensión de las Gramáticas de Cláusulas Definidas (Definite Clause Grammar DCG), al cual llamamos Gramáticas de Unificación de Huecos (Slot Unificati...

En este articulo se presenta un modelo innovador para la Recuperación de Información monolingüe en inglés y español. El modelo usa técnicas de Procesamiento de Lenguaje Natural (un etiquetador de categorías gramaticales -POS tagger-, un analizador sintáctico parcial y un módulo para la resolución de la anáfora) para mejorar la precisión de los sist...

En este trabajo se presenta una propuesta para incorporar información semántica en el proceso de análisis sintáctico parcial. La propuesta está basada en el método IRSAS para textos restringidos y extiende su acción a textos no restringidos con el uso de un recurso léxico de propósito general (WordNet). Tras la generación de una serie de patrones s...

Presentaciones de clase de la asignatura "Programación y estructuras de datos"

En este trabajo presentamos aportaciones a la resolución de la extraposición a izquierdas que ocurre en las oraciones de relativo por medio de un formalismo lógico basado en restricciones, que es una extensión de las Gramáticas de Cláusulas Definidas (Definite Clause Grammar DCG), al cual llamamos Gramáticas de Unificación de Huecos (Slot Unificati...