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Antonio Ferrández
Department of Software and Computing Systems, University of Alicante, San Vicente del Raspeig, 03690 Alicante, Spain

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Journal article
Published: 13 August 2020 in Electronics
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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 the foundation for strengthening disambiguation modules in automatic recognition systems. To the best of our knowledge, this is the first study of its kind for Costa Rican Sign Language (LESCO, for its Spanish acronym), and forms the basis for one of the modules of the already operational system of sign and speech editing called the International Platform for Sign Language Edition (PIELS). A database of 2665 signs, grouped into eight contexts, is used, and a comparison of similarity measures is made, using standard statistical formulas to measure their degree of correlation. This corpus will be especially useful in machine learning approaches. In this work, we have proposed an analysis of different similarity measures between signs in order to find out the phonological proximity between them. After analyzing the results obtained, we can conclude that LESCO is a sign language with high levels of phonological proximity, particularly in the orientation and location components, but they are noticeably lower in the form component. We have also concluded as an outstanding contribution of our research that automatic recognition systems can take as a basis for their first prototypes the contexts or sign domains that map to clusters with lower levels of similarity. As mentioned, the results obtained have multiple applications such as in the teaching area or the Natural Language Processing area for automatic recognition tasks.

ACS Style

Luis Naranjo-Zeledón; Mario Chacón-Rivas; Jesús Peral; Antonio Ferrández. Phonological Proximity in Costa Rican Sign Language. Electronics 2020, 9, 1302 .

AMA Style

Luis Naranjo-Zeledón, Mario Chacón-Rivas, Jesús Peral, Antonio Ferrández. Phonological Proximity in Costa Rican Sign Language. Electronics. 2020; 9 (8):1302.

Chicago/Turabian Style

Luis Naranjo-Zeledón; Mario Chacón-Rivas; Jesús Peral; Antonio Ferrández. 2020. "Phonological Proximity in Costa Rican Sign Language." Electronics 9, no. 8: 1302.

Review
Published: 18 September 2019 in Electronics
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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 comprise sign language understanding and its computational treatment. In this study, we conduct a thorough systematic mapping of translation-enabling technologies for sign languages. This mapping has considered the most recommended guidelines for systematic reviews, i.e., those pertaining software engineering, since there is a need to account for interdisciplinary areas of accessibility, human computer interaction, natural language processing, and education, all of them part of ACM (Association for Computing Machinery) computing classification system directly related to software engineering. An ongoing development of a software tool called SYMPLE (SYstematic Mapping and Parallel Loading Engine) facilitated the querying and construction of a base set of candidate studies. A great diversity of topics has been studied over the last 25 years or so, but this systematic mapping allows for comfortable visualization of predominant areas, venues, top authors, and different measures of concentration and dispersion. The systematic review clearly shows a large number of classifications and subclassifications interspersed over time. This is an area of study in which there is much interest, with a basically steady level of scientific publications over the last decade, concentrated mainly in the European continent. The publications by country, nevertheless, usually favor their local sign language.

ACS Style

Luis Naranjo-Zeledón; Jesús Peral; Antonio Ferrández; Mario Chacón-Rivas. A Systematic Mapping of Translation-Enabling Technologies for Sign Languages. Electronics 2019, 8, 1047 .

AMA Style

Luis Naranjo-Zeledón, Jesús Peral, Antonio Ferrández, Mario Chacón-Rivas. A Systematic Mapping of Translation-Enabling Technologies for Sign Languages. Electronics. 2019; 8 (9):1047.

Chicago/Turabian Style

Luis Naranjo-Zeledón; Jesús Peral; Antonio Ferrández; Mario Chacón-Rivas. 2019. "A Systematic Mapping of Translation-Enabling Technologies for Sign Languages." Electronics 8, no. 9: 1047.

Journal article
Published: 05 August 2019 in Sustainability
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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 marketing purposes. Particularly, we focus on online reviews that could have an influence on brand image and positioning. Within this context, and using the usual quantitative star score ratings, a recent stream of research has employed sentiment analysis (SA) tools to examine the textual content of reviews and categorize buyer opinions. Although many SA tools split comments into negative or positive, a review can contain phrases with different polarities because the user can have different sentiments about each feature of the product. Finding the polarity of each feature can be interesting for product managers and brand management. In this paper, we present a general framework that uses natural language processing (NLP) techniques, including sentiment analysis, text data mining, and clustering techniques, to obtain new scores based on consumer sentiments for different product features. The main contribution of our proposal is the combination of price and the aforementioned scores to define a new global score for the product, which allows us to obtain a ranking according to product features. Furthermore, the products can be classified according to their positive, neutral, or negative features (visualized on dashboards), helping consumers with their sustainable purchasing behavior. We proved the validity of our approach in a case study using big data extracted from Amazon online reviews (specifically cell phones), obtaining satisfactory and promising results. After the experimentation, we could conclude that our work is able to improve recommender systems by using positive, neutral, and negative customer opinions and by classifying customers based on their comments.

ACS Style

Erick Kauffmann; Jesús Peral; David Gil; Antonio Ferrández; Ricardo Sellers; Higinio Mora. Managing Marketing Decision-Making with Sentiment Analysis: An Evaluation of the Main Product Features Using Text Data Mining. Sustainability 2019, 11, 4235 .

AMA Style

Erick Kauffmann, Jesús Peral, David Gil, Antonio Ferrández, Ricardo Sellers, Higinio Mora. Managing Marketing Decision-Making with Sentiment Analysis: An Evaluation of the Main Product Features Using Text Data Mining. Sustainability. 2019; 11 (15):4235.

Chicago/Turabian Style

Erick Kauffmann; Jesús Peral; David Gil; Antonio Ferrández; Ricardo Sellers; Higinio Mora. 2019. "Managing Marketing Decision-Making with Sentiment Analysis: An Evaluation of the Main Product Features Using Text Data Mining." Sustainability 11, no. 15: 4235.

Proceedings
Published: 01 January 2018 in Proceedings
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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, which we face in this paper. We mean the string dictionaries needed in information retrieval, content development, “key performance indicators” generation and course management applications. As an example, our approach can deal with different indexation dictionaries required by the course contents and the different online forums that generate a huge number of messages with an unordered structure and a great variety of topics. Our architecture will generate an only dictionary that is shared by all the stakeholders involved in the e-learning process.

ACS Style

Antonio Ferrández; Jesús Peral; Higinio Mora; David Gil. Architecture for Efficient String Dictionaries in E-Learning. Proceedings 2018, 2, 1251 .

AMA Style

Antonio Ferrández, Jesús Peral, Higinio Mora, David Gil. Architecture for Efficient String Dictionaries in E-Learning. Proceedings. 2018; 2 (19):1251.

Chicago/Turabian Style

Antonio Ferrández; Jesús Peral; Higinio Mora; David Gil. 2018. "Architecture for Efficient String Dictionaries in E-Learning." Proceedings 2, no. 19: 1251.

Journal article
Published: 28 February 2017 in The International Review of Research in Open and Distributed Learning
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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 number of messages are generated. These forums provide an excellent platform for learning and connecting students of the subject, but the difficulties in following and searching the vast volume of information that they generate may produce the opposite effect. In this paper, we propose a computational method for enabling the educational process in huge online learning communities. This method analyses the forum information through Natural Language Processing techniques and extract the main topics discussed. The results generated improves the management of the forums, increases the effectiveness of the teachers’ explanations and reduces the time spent by students to follow the course. The proposal has been complemented with a real case study that shows promising results.

ACS Style

Higinio Mora; Antonio Ferrández; David Gil; Jesús Peral. A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities. The International Review of Research in Open and Distributed Learning 2017, 18, 1 .

AMA Style

Higinio Mora, Antonio Ferrández, David Gil, Jesús Peral. A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities. The International Review of Research in Open and Distributed Learning. 2017; 18 (1):1.

Chicago/Turabian Style

Higinio Mora; Antonio Ferrández; David Gil; Jesús Peral. 2017. "A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities." The International Review of Research in Open and Distributed Learning 18, no. 1: 1.

Journal article
Published: 01 October 2016 in Future Generation Computer Systems
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Highlights•Energy consumption predictions based on data mining and supported by external data.•Heterogeneous data are combined through DW and Information Extraction (IE).•Multidimensional model integrates information extracted from Social Networks and IE.•The scenario: consumption prediction is modified with external unstructured data. AbstractIrresponsible 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 with external Big Data to improve energy consumption predictions. This paper presents a study in which we propose an architecture that makes use of already stored energy data and external unstructured information to improve knowledge acquisition and allow managers to make better decisions. This external knowledge is represented by a torrent of information that, in many cases, is hidden across heterogeneous and unstructured data sources, which are recuperated by an Information Extraction system. Alternatively, it is present in social networks expressed as user opinions. Furthermore, our approach applies data mining techniques to exploit the already integrated data. Our approach has been applied to a real case study and shows promising results. The experiments carried out in this work are twofold: (i) using and comparing diverse Artificial Intelligence methods, and (ii) validating our approach with data sources integration.

ACS Style

Alejandro Maté; Jesús Peral; Antonio Ferrández; David Gil; Juan Trujillo. A hybrid integrated architecture for energy consumption prediction. Future Generation Computer Systems 2016, 63, 131 -147.

AMA Style

Alejandro Maté, Jesús Peral, Antonio Ferrández, David Gil, Juan Trujillo. A hybrid integrated architecture for energy consumption prediction. Future Generation Computer Systems. 2016; 63 ():131-147.

Chicago/Turabian Style

Alejandro Maté; Jesús Peral; Antonio Ferrández; David Gil; Juan Trujillo. 2016. "A hybrid integrated architecture for energy consumption prediction." Future Generation Computer Systems 63, no. : 131-147.

Review
Published: 11 July 2016 in Sensors
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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, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.

ACS Style

David Gil; Antonio Ferrández; Higinio Mora-Mora; Jesús Peral. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services. Sensors 2016, 16, 1069 .

AMA Style

David Gil, Antonio Ferrández, Higinio Mora-Mora, Jesús Peral. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services. Sensors. 2016; 16 (7):1069.

Chicago/Turabian Style

David Gil; Antonio Ferrández; Higinio Mora-Mora; Jesús Peral. 2016. "Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services." Sensors 16, no. 7: 1069.

Journal article
Published: 01 November 2015 in Ecological Informatics
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ACS Style

Antonio Ferrández; Jesús Peral; Elisa De Gregorio; Juan Trujillo; Alejandro Maté; Luis José Ferrández; Yenory Rojas. An authoring tool for decision support systems in context questions of ecological knowledge. Ecological Informatics 2015, 30, 328 -344.

AMA Style

Antonio Ferrández, Jesús Peral, Elisa De Gregorio, Juan Trujillo, Alejandro Maté, Luis José Ferrández, Yenory Rojas. An authoring tool for decision support systems in context questions of ecological knowledge. Ecological Informatics. 2015; 30 ():328-344.

Chicago/Turabian Style

Antonio Ferrández; Jesús Peral; Elisa De Gregorio; Juan Trujillo; Alejandro Maté; Luis José Ferrández; Yenory Rojas. 2015. "An authoring tool for decision support systems in context questions of ecological knowledge." Ecological Informatics 30, no. : 328-344.

Journal article
Published: 01 March 2015 in Ecological Informatics
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ACS Style

Jesús Peral; Antonio Ferrández; Elisa De Gregorio; Juan Trujillo; Alejandro Maté; Luis José Ferrández. Enrichment of the phenotypic and genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs. Ecological Informatics 2015, 26, 203 -216.

AMA Style

Jesús Peral, Antonio Ferrández, Elisa De Gregorio, Juan Trujillo, Alejandro Maté, Luis José Ferrández. Enrichment of the phenotypic and genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs. Ecological Informatics. 2015; 26 ():203-216.

Chicago/Turabian Style

Jesús Peral; Antonio Ferrández; Elisa De Gregorio; Juan Trujillo; Alejandro Maté; Luis José Ferrández. 2015. "Enrichment of the phenotypic and genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs." Ecological Informatics 26, no. : 203-216.

Journal article
Published: 23 December 2014 in Journal of Intelligent Information Systems
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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 of data. However, there is a common agreement in that the next generation of BI applications should consider data not only from their internal data sources, but also data from different external sources (e.g. Big Data, blogs, social networks, etc.), where relevant update information from competitors may provide crucial information in order to take the right decisions. This external data is usually obtained through traditional Web search engines, with a significant effort from users in analyzing the returned information and in incorporating this information into the BI application. In this paper, we propose to integrate the DW internal structured data, with the external unstructured data obtained with Question Answering (QA) techniques. The integration is achieved seamlessly through the presentation of the data returned by the DW and the QA systems into dashboards that allow the user to handle both types of data. Moreover, the QA results are stored in a persistent way through a new DW repository in order to facilitate comparison of the obtained results with different questions or even the same question with different dates.

ACS Style

Antonio Ferrández; Alejandro Maté; Jesús Peral; Juan Trujillo; Elisa De Gregorio; Marie-Aude Aufaure. A framework for enriching Data Warehouse analysis with Question Answering systems. Journal of Intelligent Information Systems 2014, 46, 61 -82.

AMA Style

Antonio Ferrández, Alejandro Maté, Jesús Peral, Juan Trujillo, Elisa De Gregorio, Marie-Aude Aufaure. A framework for enriching Data Warehouse analysis with Question Answering systems. Journal of Intelligent Information Systems. 2014; 46 (1):61-82.

Chicago/Turabian Style

Antonio Ferrández; Alejandro Maté; Jesús Peral; Juan Trujillo; Elisa De Gregorio; Marie-Aude Aufaure. 2014. "A framework for enriching Data Warehouse analysis with Question Answering systems." Journal of Intelligent Information Systems 46, no. 1: 61-82.

Journal article
Published: 30 September 2013 in Computer Standards & Interfaces
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Natural Language Interfaces to Query Databases (NLIDBs) have been an active research field since the 1960s. However, they have not been widely adopted. This article explores some of the biggest challenges and approaches for building NLIDBs and proposes techniques to reduce implementation and adoption costs. The article describes {AskMe*}, a new system that leverages some of these approaches and adds an innovative feature: query-authoring services, which lower the entry barrier for end users. Advantages of these approaches are proven with experimentation. Results confirm that, even when {AskMe*} is automatically reconfigurable against multiple domains, its accuracy is comparable to domain-specific NLIDBs.

ACS Style

Miguel Llopis; Antonio Ferrández. How to make a natural language interface to query databases accessible to everyone: An example. Computer Standards & Interfaces 2013, 35, 470 -481.

AMA Style

Miguel Llopis, Antonio Ferrández. How to make a natural language interface to query databases accessible to everyone: An example. Computer Standards & Interfaces. 2013; 35 (5):470-481.

Chicago/Turabian Style

Miguel Llopis; Antonio Ferrández. 2013. "How to make a natural language interface to query databases accessible to everyone: An example." Computer Standards & Interfaces 35, no. 5: 470-481.

Journal article
Published: 05 March 2013 in Data & Knowledge Engineering
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Information Retrieval systems normally have to work with rather heterogeneous sources, such as Web sites or documents from Optical Character Recognition tools. The correct conversion of these sources into flat text files is not a trivial task since noise may easily be introduced as a result of spelling or typeset errors. Interestingly, this is not a great drawback when the size of the corpus is sufficiently large, since redundancy helps to overcome noise problems. However, noise becomes a serious problem in restricted-domain Information Retrieval specially when the corpus is small and has little or no redundancy. This paper devises an approach which adds noise-tolerance to Information Retrieval systems. A set of experiments carried out in the agricultural domain proves the effectiveness of the approach presented.

ACS Style

Katia Vila; Antonio Fernández; José M. Gómez; Antonio Ferrández; Josval Díaz. Noise-tolerance feasibility for restricted-domain Information Retrieval systems. Data & Knowledge Engineering 2013, 86, 276 -294.

AMA Style

Katia Vila, Antonio Fernández, José M. Gómez, Antonio Ferrández, Josval Díaz. Noise-tolerance feasibility for restricted-domain Information Retrieval systems. Data & Knowledge Engineering. 2013; 86 ():276-294.

Chicago/Turabian Style

Katia Vila; Antonio Fernández; José M. Gómez; Antonio Ferrández; Josval Díaz. 2013. "Noise-tolerance feasibility for restricted-domain Information Retrieval systems." Data & Knowledge Engineering 86, no. : 276-294.

Journal article
Published: 31 December 2011 in Procedia Computer Science
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Ambient Intelligence (AmI) requires Question Answering (QA) systems for providing intuitive interfaces to state natural language questions and obtaining precise answers related to some specific topic. Therefore, adapting QA systems to new restricted domains is an increasingly necessity for these systems to be applied in AmI environments. Unfortunately, research addressing adaptation of QA systems to new domains has two main drawbacks: (i) QA systems are manually tuned, which requires a huge effort in time and cost, and (ii) tuning of QA systems depends on the specific representation scheme of the restricted-domain knowledge, thus hinders incorporation of new resources into the system. To overcome these drawbacks, this paper presents a novel approach based on model-driven development in order to seamlessly integrate textual information and knowledge resources to automatically and effortlessly adapt QA systems to be useful for restricted-domain AmI environments, such as e-Science.

ACS Style

Katia Vila; Jose-Norberto Mazón; Antonio Ferrández. Model-driven adaptation of question answering systems for ambient intelligence by integrating restricted-domain knowledge. Procedia Computer Science 2011, 4, 1650 -1659.

AMA Style

Katia Vila, Jose-Norberto Mazón, Antonio Ferrández. Model-driven adaptation of question answering systems for ambient intelligence by integrating restricted-domain knowledge. Procedia Computer Science. 2011; 4 ():1650-1659.

Chicago/Turabian Style

Katia Vila; Jose-Norberto Mazón; Antonio Ferrández. 2011. "Model-driven adaptation of question answering systems for ambient intelligence by integrating restricted-domain knowledge." Procedia Computer Science 4, no. : 1650-1659.

Conference paper
Published: 01 January 2011 in Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials
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ACS Style

Katia Vila; Antonio Ferrandez. Model-driven restricted-domain adaptation of question answering systems for business intelligence. Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials 2011, 36 -43.

AMA Style

Katia Vila, Antonio Ferrandez. Model-driven restricted-domain adaptation of question answering systems for business intelligence. Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials. 2011; ():36-43.

Chicago/Turabian Style

Katia Vila; Antonio Ferrandez. 2011. "Model-driven restricted-domain adaptation of question answering systems for business intelligence." Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials , no. : 36-43.

Conference paper
Published: 01 January 2010 in Proceedings of the 1st International Workshop on Real World Domain Specific Languages
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ACS Style

Antonio Ferrandez; Jesús Peral. The benefits of the interaction between data warehouses and question answering. Proceedings of the 1st International Workshop on Real World Domain Specific Languages 2010, 1 .

AMA Style

Antonio Ferrandez, Jesús Peral. The benefits of the interaction between data warehouses and question answering. Proceedings of the 1st International Workshop on Real World Domain Specific Languages. 2010; ():1.

Chicago/Turabian Style

Antonio Ferrandez; Jesús Peral. 2010. "The benefits of the interaction between data warehouses and question answering." Proceedings of the 1st International Workshop on Real World Domain Specific Languages , no. : 1.

Conference paper
Published: 01 January 2010 in Transactions on Petri Nets and Other Models of Concurrency XV
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Corpus of Information Retrieval (IR) systems are formed by text documents that often come from rather heterogeneous sources, such as Web sites or OCR (Optical Character Recognition) systems. Faithfully converting these sources into flat text files is not a trivial task, since noise can be easily introduced due to spelling or typeset errors. Importantly, if the size of the corpus is large enough, then redundancy helps in controlling the effects of noise because the same text often appears with and without noise throughout the corpus. Conversely, noise becomes a serious problem in restricted-domain IR where corpus is usually small and it has little or no redundancy. Therefore, noise hinders the retrieval task in restricted domains and erroneous results are likely to be obtained. In order to overcome this situation, this paper presents an approach for using restricted-domain resources, such as Knowledge Organization Systems (KOS), to add noise-tolerance to existing IR systems. To show the suitability of our approach in one real restricted-domain case study, a set of experiments has been carried out for the agricultural domain.

ACS Style

Katia Vila; Josval Díaz; Antonio Fernández; Antonio Ferrández. An Approach for Adding Noise-Tolerance to Restricted-Domain Information Retrieval. Transactions on Petri Nets and Other Models of Concurrency XV 2010, 6177, 1 -12.

AMA Style

Katia Vila, Josval Díaz, Antonio Fernández, Antonio Ferrández. An Approach for Adding Noise-Tolerance to Restricted-Domain Information Retrieval. Transactions on Petri Nets and Other Models of Concurrency XV. 2010; 6177 ():1-12.

Chicago/Turabian Style

Katia Vila; Josval Díaz; Antonio Fernández; Antonio Ferrández. 2010. "An Approach for Adding Noise-Tolerance to Restricted-Domain Information Retrieval." Transactions on Petri Nets and Other Models of Concurrency XV 6177, no. : 1-12.

Journal article
Published: 29 September 2009 in Information Sciences
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This paper describes a new advance in solving Cross-Lingual Question Answering (CL–QA) tasks. It is built on three main pillars: (i) the use of several multilingual knowledge resources to reference words between languages (the Inter Lingual Index (ILI) module of EuroWordNet and the multilingual knowledge encoded in Wikipedia); (ii) the consideration of more than only one translation per word in order to search candidate answers; and (iii) the analysis of the question in the original language without any translation process. This novel approach overcomes the errors caused by the common use of Machine Translation (MT) services by CL–QA systems. We also expose some studies and experiments that justify the importance of analyzing whether a Named Entity should be translated or not. Experimental results in bilingual scenarios show that our approach performs better than an MT based CL–QA approach achieving an average improvement of 36.7%.

ACS Style

Sergio Ferrández; Antonio Toral; Óscar Ferrández; Antonio Ferrández; Rafael Muñoz. Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering. Information Sciences 2009, 179, 3473 -3488.

AMA Style

Sergio Ferrández, Antonio Toral, Óscar Ferrández, Antonio Ferrández, Rafael Muñoz. Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering. Information Sciences. 2009; 179 (20):3473-3488.

Chicago/Turabian Style

Sergio Ferrández; Antonio Toral; Óscar Ferrández; Antonio Ferrández; Rafael Muñoz. 2009. "Exploiting Wikipedia and EuroWordNet to solve Cross-Lingual Question Answering." Information Sciences 179, no. 20: 3473-3488.

Conference paper
Published: 01 January 2009 in Transactions on Petri Nets and Other Models of Concurrency XV
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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 the QA task.

ACS Style

Sandra Roger; Katia Vila; Antonio Ferrández; María Pardiño; José Manuel Gómez; Marcel Puchol-Blasco; Jesús Peral. Using AliQAn in Monolingual [email protected] 2008. Transactions on Petri Nets and Other Models of Concurrency XV 2009, 333 -336.

AMA Style

Sandra Roger, Katia Vila, Antonio Ferrández, María Pardiño, José Manuel Gómez, Marcel Puchol-Blasco, Jesús Peral. Using AliQAn in Monolingual [email protected] 2008. Transactions on Petri Nets and Other Models of Concurrency XV. 2009; ():333-336.

Chicago/Turabian Style

Sandra Roger; Katia Vila; Antonio Ferrández; María Pardiño; José Manuel Gómez; Marcel Puchol-Blasco; Jesús Peral. 2009. "Using AliQAn in Monolingual [email protected] 2008." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 333-336.

Conference paper
Published: 01 January 2009 in Transactions on Petri Nets and Other Models of Concurrency XV
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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 techniques. According to the results, machine translation techniques are a bit better than techniques based on logic forms in the performance of the question translation.

ACS Style

Rafael Muñoz-Terol; Marcel Puchol-Blasco; María Pardiño; José Manuel Gómez; Sandra Roger; Katia Vila; Antonio Ferrández; Jesús Peral; Patricio Martínez-Barco. Integrating Logic Forms and Anaphora Resolution in the AliQAn System. Transactions on Petri Nets and Other Models of Concurrency XV 2009, 438 -441.

AMA Style

Rafael Muñoz-Terol, Marcel Puchol-Blasco, María Pardiño, José Manuel Gómez, Sandra Roger, Katia Vila, Antonio Ferrández, Jesús Peral, Patricio Martínez-Barco. Integrating Logic Forms and Anaphora Resolution in the AliQAn System. Transactions on Petri Nets and Other Models of Concurrency XV. 2009; ():438-441.

Chicago/Turabian Style

Rafael Muñoz-Terol; Marcel Puchol-Blasco; María Pardiño; José Manuel Gómez; Sandra Roger; Katia Vila; Antonio Ferrández; Jesús Peral; Patricio Martínez-Barco. 2009. "Integrating Logic Forms and Anaphora Resolution in the AliQAn System." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 438-441.

Book chapter
Published: 01 January 2008 in Word Sense Disambiguation
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The main aim of this work is to study the application of automatic anaphora or co-reference resolution techniques to Question Answering (QA) systems. Moreover, this chapter includes an overview of anaphora problem, a summary of approaches to anaphora resolution in Natural Language Processing and an analysis of their effectiveness and applicability to QA tasks. This work is complemented with a detailed study of current QA computational systems that apply this kind of techniques and a full evaluation for measuring the effects on QA systems performance when the information that is referenced by pronominal anaphora in documents is not ignored.

ACS Style

José L. Vicedo; Antonio Ferrández. Coreference In Q&A. Word Sense Disambiguation 2008, 32, 71 -96.

AMA Style

José L. Vicedo, Antonio Ferrández. Coreference In Q&A. Word Sense Disambiguation. 2008; 32 ():71-96.

Chicago/Turabian Style

José L. Vicedo; Antonio Ferrández. 2008. "Coreference In Q&A." Word Sense Disambiguation 32, no. : 71-96.