Errors lingüístics en el domini biomèdic: Cap a una tipologia d’errors per a l’espanyol

L’objectiu d’aquest treball és l’anàlisi d’errors continguts en un corpus d’informes mèdics en llenguatge natural i el disseny d’una tipologia d’errors, ja que no hi va haver una revisió sistemàtica sobre verificació i correcció d’errors en documentació clínica en castellà. En el desenvolupament de sistemes automàtics de detecció i correcció, és d’interès aprofundir en la naturalesa dels errors lingüístics que es produeixen en els informes clínics per tal de detectar-los i tractar-los adequadament. Els resultats mostren que els errors d’omissió són els més freqüents en la mostra analitzada i que la longitud de la paraula sens dubte influeix en la freqüència d’error. La tipificació dels patrons d’error proporcionats permet el desenvolupament d’un mòdul basat en coneixements lingüístics, actualment en curs, que serà capaç de millorar el rendiment dels sistemes de correcció de detecció i correcció d’errors per al domini biomèdicThe objective of this work is the analysis of errors contained in a corpus of medical reports in natural language and the design of a typology of errors, as there was no systematic review on verification and correction of errors in clinical documentation in Spanish. In the development of automatic detection and correction systems, it is of great interest to delve into the nature of the linguistic errors that occur in clinical reports, in order to detect and treat them properly. The results show that omission errors are the most frequent ones in the analyzed sample, and that word length certainly influences error frequency. The typification of error patterns provided is enabling the development of a module based on linguistic knowledge, which is currently in progress. This will help to improve the performance of error detection and correction systems for the biomedical domain.This work was supported by the Spanish National Research Agency (AEI) through project LaTe4PSP (PID2019-107652RB-I00/AEI/10.13039/501100011033). Furthermore, the main autor is supported by Ministerio de Universidades of Spain through the national program Ayudas para la formación de profesorado universitario (FPU), with reference FPU16/0332

Open Idea: an intelligent platform for managing innovative ideas

La finalidad del proyecto OPEN IDEA es el desarrollo de una herramienta que permita gestionar de manera eficiente las ideas innovadoras dentro de una organización, mediante el uso de tecnologías semánticas y del procesamiento del lenguaje natural. El objetivo central del sistema es fomentar el concepto de innovación abierta facilitando, durante todo el proceso de gestión de ideas, la interacción entre usuarios de la organización con las ideas innovadoras aportadas. Este proyecto está siendo desarrollado conjuntamente por la empresa QualityObjects y el grupo TECNOMOD de la Universidad de Murcia y ha sido financiado por el Ministerio de Industria, Energía y Turismo a través de la convocatoria de Avanza Competitividad I+D de 2012.The main goal of the OPEN IDEA Project is the development of a platform which efficiently manages the innovative ideas within an organization by using semantic technologies and natural language processing. The main challenge of this system is to promote the concept of Open Innovation in the enterprise by making easier the interaction between the organization users and the innovative ideas proposed during the whole management process. This project is being jointly developed by the Quality Objects Enterprise and the TECNOMOD research group from the University of Murcia, and it is funded by the Ministry of Industry, Energy and Tourism (Research and Development programme Avanza Competitividad 2012).Este trabajo ha sido financiado por el Ministerio de Industria, Energía y Turismo a través del proyecto OPEN IDEA (TSI-020603-2012-219)

Psychographic Traits Identification based on political ideology: An author analysis study on spanish politicians tweets posted in 2020

In general, people are usually more reluctant to follow advice and directions from politicians who do not have their ideology. In extreme cases, people can be heavily biased in favour of a political party at the same time that they are in sharp disagreement with others, which may lead to irrational decision making and can put people’s lives at risk by ignoring certain recommendations from the authorities. Therefore, considering political ideology as a psychographic trait can improve political micro-targeting by helping public authorities and local governments to adopt better communication policies during crises. In this work, we explore the reliability of determining psychographic traits concerning political ideology. Our contribution is twofold. On the one hand, we release the PoliCorpus-2020, a dataset composed by Spanish politicians’ tweets posted in 2020. On the other hand, we conduct two authorship analysis tasks with the aforementioned dataset: an author profiling task to extract demographic and psychographic traits, and an authorship attribution task to determine the author of an anonymous text in the political domain. Both experiments are evaluated with several neural network architectures grounded on explainable linguistic features, statistical features, and state-of-the-art transformers. In addition, we test whether the neural network models can be transferred to detect the political ideology of citizens. Our results indicate that the linguistic features are good indicators for identifying finegrained political affiliation, they boost the performance of neural network models when combined with embedding-based features, and they preserve relevant information when the models are tested with ordinary citizens. Besides, we found that lexical and morphosyntactic features are more effective on author profiling, whereas stylometric features are more effective in authorship attribution.publishedVersio

Enfoque para la adquisición de competencias transversales a través de presentaciones grupales y evaluación entre iguales

[SPA] La adquisición de competencias transversales es fundamental para el desarrollo de las competencias profesionales que buscan fomentar los nuevos planes de estudios desarrollados en los últimos años. En esta comunicación presentamos el enfoque docente seguido para fomentar la adquisición de estas competencias tales como la comunicación oral, el trabajo en equipo, la búsqueda de recursos en Internet y las capacidades de análisis y síntesis. El enfoque se basa en el desarrollo de unas presentaciones grupales que fueron evaluadas de manera formal de acuerdo a unos criterios de calidad tanto por los propios compañeros de forma grupal como por el profesor. A lo largo de esta comunicación explicamos el proceso seguido, los resultados de las distintas evaluaciones de los trabajos llevadas a cabo por los alumnos, su comparación con la evaluación del profesor y, finalmente, la valoración de la experiencia tanto por parte de los alumnos como del profesor. [ENG] The acquisition of cross-curricular competences is a key issue in the learning process defined in the new degrees adapted to the European Higher Education Area. In this paper we present the approach we have followed to foster the acquisition of cross-curricular competences such as oral communication, group work, the search of resources in the Internet and analysis and synthesis capabilities. Our approach is based on the development of group presentations that will be evaluated by students (peer-assessment) and professors according to a set of quality criteria. This paper explains the process followed in the experience, the results of the different assessments made by students, a comparison with the professors’ evaluations and, finally, the satisfaction of the students and professors with the experience

Instant messaging-based dialog system for device control in the Internet of things

La finalidad del proyecto im4Things es el desarrollo de una herramienta que proporcione una interfaz de comunicación entre humanos y dispositivos en la Internet de las cosas mediante diálogo en lenguaje natural escrito a través de servicios de mensajería instantánea. Esta comunicación puede ser de distintos tipos tales como el envío de órdenes, la consulta del estado e incluso se permite que sean los mismos dispositivos los encargados de alertar al usuario, si se ha producido un cambio del estado en los sensores de los dispositivos. Este proyecto está siendo desarrollado conjuntamente por la empresa Proasistech y el grupo TECNOMOD de la Universidad de Murcia y ha sido financiado por los fondos propios de la empresa Proasistech y con un contrato de I+D+i de asesoría tecnológica con el citado grupo de la Universidad de Murcia.The im4Things project aims to develop a communication interface to devices on the Internet of the Things (IoT) through intelligent dialogue based on written natural language over instant messaging services. This communication can be established in different ways such as order sending, status querying and even the devices themselves are responsible for alert users when a change has been produced in the devices sensors. This project is being developed by Proasistech company in cooperation with the TECNOMOD research group of the University of Murcia and it has been funded by equity capital of Proasistech company and by an R&D&i technology consulting contract with the aforementioned University of Murcia research group.Este trabajo ha sido financiado por la empresa Proasistech (http://www.proasistech.com/) a través de sus fondos propios

Resumen de FinancES 2023: Análisis de Sentimiento Dirigido en Español sobre Finanzas

This paper presents the FinancES 2023 shared task, organized in the IberLEF 2023 workshop, within the framework of the 39th International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023). The aim of this task is to extend the challenge of sentiment analysis in Spanish to the financial domain, in order to extract the sentiment that a piece of financial information can have for several actors, including the main economic target (i.e., the specific company or asset where the economic fact applies), other companies (i.e., the entities producing the goods and services that others consume) and consumers (i.e., households/individuals). Specifically, two tasks are proposed and evaluated separately. One to identify the main target and to determine the sentiment polarity towards such target, and a second task to assess the sentiment towards both other companies and consumers. The ranking includes results for 10 different teams proposing novel approaches, mostly based on Transformers and generative language models.Este artículo resume la tarea FinancES 2023, organizada en el taller IberLEF 2023, dentro del marco de la 39ª Conferencia Internacional de la Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN 2023). El objetivo de esta tarea es mejorar la materia de la minería de opiniones en español dentro del ámbito financiero realizando el análisis de sentimientos desde distintos puntos de vista. En concreto, se proponen y estudian dos tareas que son evaluadas de forma independiente. La primera tarea consiste en (i) identificar el actor principal asociado a una noticia financiera, y (ii) el sentimiento expresado hacia dicho actor. La segunda tarea consiste en determinar el sentimiento de la noticia (i) hacia otras empresas (i.e., otros agentes económicos), y (ii) hacia los consumidores (i.e., la sociedad). El ranking incluye los resultados de 10 equipos diferentes que proponen enfoques novedosos, en su mayoría basados en Transformers y modelos generativos del lenguaje.This work is part of the research project AIInFunds (PDC2021-121112-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. This work is also part of the research project LaTe4PSP (PID2019-107652RB-I00) funded by MCIN/AEI/10.13039/501100011033 and the research project LaTe4PoliticES (PID2022-138099OB-I00) funded by MCIN/AEI/10.13039/501100011033 and the European Fund for Regional Development (FEDER)-a way to make Europe

Resumen de la tarea PoliticES en IberLEF 2023: Detección de Ideología Política en Español

This paper describes PoliticES 2023, a shared task organized within the workshop IberLEF 2023 in the framework of the 39th edition of the International Conference of the Spanish Society for Natural Language Processing. This second edition of the task shares the goal of the first edition of PoliticES, which is to extract political ideology and other psychographic and demographic characteristics of users in social networks. What is new this year is that the traits are extracted from text clusters of users who share the same traits, and that celebrities have been included as a type of profession. This edition attracted 43 teams, of which 11 submitted results and 8 sent papers describing their systems. Most of the participants proposed Transformers-based approaches, but others also used traditional machine learning algorithms.Este artículo describe PoliticES 2023, una tarea organizada dentro del taller IberLEF 2023 en el marco de la 39 edición del Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural. Esta segunda edición de la tarea comparte el objetivo de la primera edición de PoliticES, extraer la ideología política y otros rasgos psicográficos y demográficos de usuarios en redes sociales. Las novedades son que este año los rasgos se extraen de clústers de textos de usuarios que comparten los mismos rasgos y que se ha incluido celebridades como tipo de profesión. Esta edición ha atraído a 43 equipos, de los cuales 11 enviaron resultados y 8 presentaron artículos describiendo sus sistemas. La mayoría de los participantes propusieron enfoques basados en Transformers, pero también otros utilizaron algoritmos tradicionales de aprendizaje automático.This work is part of the research projects LaTe4PoliticES (PID2022-138099OB-I00) funded by MCIN/AEI/10.13039/501100011033 and the European Fund for Regional Development (FEDER)-a way to make Europe and LaTe4PSP (PID2019-107652RB-I00/AEI/10.13039/501100011033) funded by MCIN/AEI/10.13039/501100011033. This work is also part part of the research projects AIInFunds (PDC2021-121112-I00) and LTSWM (TED2021-131167B-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. It also has been partially supported by Project CONSENSO (PID2021-122263OB-C21), Project MODERATES (TED2021-130145B-I00) and Project SocialTox (PDC2022-133146-C21) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, Project PRECOM (SUBV-00016) funded by the Ministry of Consumer Affairs of the Spanish Government, Project FedDAP (PID2020-116118GA-I00) supported by MICINN/AEI/10.13039/501100011033 and WeLee project (1380939, FEDER Andalucía 2014-2020) funded by the Andalusian Regional Government. Salud María Jiménez-Zafra has been partially supported by a grant from Fondo Social Europeo and the Administration of the Junta de Andalucía (DOC 01073)

Resumen de la tarea PoliticEs 2022: Perfilado del Autor Español por su Ideología Política

This paper presents the PoliticEs 2022 shared task, organized at IberLEF 2022 workshop, within the framework of the 38th International Conference of the Spanish Society for Natural Language Processing. This task aims to extract the political ideology from a given user’s set of tweets. Specifically, it focused on the identification of the gender and the profession, as demographic traits, and the political ideology from a binary and multi-class perspective, as a psychographic trait. The PoliticEs task attracted 63 teams that registered through CodaLab. Finally, 20 submitted results and 14 presented working notes describing their systems. Most of the teams proposed transformer-based approaches, although some of them also used traditional machine learning algorithms or even a combination of both approaches.Este artículo presenta la tarea PoliticEs 2022, organizada en el taller IberLEF 2022, en el marco de la 38 edición del Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural. Esta tarea tiene como objetivo extraer la ideología política de un usuario a partir de un conjunto de tuits publicados por él. En concreto, se centró en la identificación del género y la profesión, como rasgos demográficos, y la ideología política desde una perspectiva binaria y multiclase, como rasgo psicográfico. La tarea PoliticEs atrajo a 63 equipos que se inscribieron a través de CodaLab. Finalmente, 20 enviaron resultados y 14 presentaron artículos describiendo sus sistemas. La mayoría de los equipos propusieron enfoques basados en transformers, aunque algunos de ellos también utilizaron algoritmos tradicionales de aprendizaje automático o incluso una combinación de ambos enfoques.This work was supported by Project LaTe4PSP (PID2019-107652RB-I00) funded by MCIN/AEI/10.13039/501100011033, Project AlInFunds (PDC2021-121112-I00) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR, Project LIVING-LANG (RTI2018-094653-B-C21) funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe, and Big Hug project (P20 00956, PAIDI 2020) and WeLee project (1380939, FEDER Andalucía 2014-2020) funded by the Andalusian Regional Government. In addition, José Antonio García-Díaz has been supported by Banco Santander and University of Murcia through the industrial doctorate programme, and Salud María Jiménez-Zafra has been partially supported by a grant from Fondo Social Europeo and Administración de la Junta de Andalucía (DOC 01073)

Real-Time PCR based test for the early diagnosis of Haplosporidium pinnae affecting fan mussel Pinna nobilis

All sequence files are available from the Genbank database (accession numbers MK142774-MK142779). The protocol is available from protocols.io (DOI: dx.doi.org/10. 17504/protocols.io.xmyfk7w).Noble pen shell or fan mussel, Pinna nobilis Linnaeus (1758), protected since 1992, was incorporated into the Spanish Catalogue of Threatened Species (Category: Vulnerable, Royal Decree 139/2011). The status is presently in the process of being catalogued as critically endangered, pending approval by Spanish Government (https://www.mapama.gob.es/ es/biodiversidad/participacion-publica/Borrador_OM_situacion_critica.aspx). The International Union for the Conservation of Nature (IUCN) alerted the countries of the Mediterranean basin to the “emergent situation” due to serious mortality events suffered by the fan mussel, putting it in serious risk of extinction. Thus, emergency actions have been implemented by Spanish authorities in which several research institutes from all over the country are involved. The parasite, Haplosporidium pinnae, was recently characterized by histology, TEM, SEM and molecular biology techniques and it was considered responsible for the mass mortality of P. nobilis in the Mediterranean Sea. In this context, the aim of this study has been to develop species-specific quantitative PCR (qPCR) protocol carrying out a fast, specific and effective molecular diagnose of H. pinnae. In this sense, the detection limit for qPCR was equal to 30 copies of SSU rDNA / ng of DNA using plasmid alone and when 100ng DNA of non-infected oyster were added. The qPCR assay revealed that 94% of the 32 analysed mantle tissues of fan mussel were infected by H. pinnae, showing a high sensitivity and specificity for its detection (100% if we don’t consider negative and too much degraded samples). This technique will allow us to make quicker follow-ups of the disease, allowing us to get a better understanding of its evolution in order to help in the rescue of P. nobilis populationsProject MAPAMA ref. 28-5310LIFE IPE INTERMARES(LIFE15 IPE ES 012)IFAPA-UCV 014/2018 and co-funded by PHENOFISH ProjectState Plan for Scientific and Technical Research and Innovation 2013-2016, MINECO, ref. PTA2015-14709-IMinisterio de Economía, Industria y Competitividad, Gobierno de España, INIA CCAA (DOC INIA 8-2013)Project BF/HEM 15-1662Ciencias del Ma

On the Move to Meaningful Internet Systems: OTM 2015 Workshops: Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, EI2N, FBM, INBAST, ISDE, META4eS, and MSC 2015, Rhodes, Greece, October 26-30, 2015. Proceedings

International audienceThis volume constitutes the refereed proceedings of the following 8 International Workshops: OTM Academy; OTM Industry Case Studies Program; Enterprise Integration, Interoperability, and Networking, EI2N; International Workshop on Fact Based Modeling 2015, FBM; Industrial and Business Applications of Semantic Web Technologies, INBAST; Information Systems, om Distributed Environment, ISDE; Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society, META4eS; and Mobile and Social Computing for collaborative interactions, MSC 2015. These workshops were held as associated events at OTM 2015, the federated conferences "On The Move Towards Meaningful Internet Systems and Ubiquitous Computing", in Rhodes, Greece, in October 2015.The 55 full papers presented together with 3 short papers and 2 popsters were carefully reviewed and selected from a total of 100 submissions. The workshops share the distributed aspects of modern computing systems, they experience the application pull created by the Internet and by the so-called Semantic Web, in particular developments of Big Data, increased importance of security issues, and the globalization of mobile-based technologies