7th Business Systems Laboratory International Symposium
Nuestros compañeros Alejandro Piad, Tania J. Martin y Paula Núñez participaron en el 7th Business Systems Laboratory International Symposium, ” SOCIO-ECONOMIC ECOSYSTEMS: CHALLENGES FOR SUSTAINABLE DEVELOPMENT IN THE DIGITAL ERA”.
“I Congreso Internacional ICT 2020”
Beatriz Botella, componente del proyecto SIIA, asistió al I Congreso Internacional ICT 2020 celebrado en la Universidad de Loyola en Dos Hermanas, Sevilla. En este congreso presentó su trabajo de […]
Team GPLSI. Approach for automated fact checking
Fever Shared 2.0 Task is a challenge meant for developing automated fact checking systems. Our approach for the Fever 2.0 is based on a previous proposal developed by Team Athene […]
Indicador de reputación online de destinos
El Instituto Valenciano de Tecnologías Turísticas INVAT·TUR, realiza una monitorización de determinados destinos en la red social Twitter a través de nuestra herramienta Social Analytics. Puedes ver la noticia aquí […]
Monitorización campaña 10N
Con nuestra plataforma Social Analytics estamos realizando un seguimiento a través de la actividad en Twitter sobre la campaña de las elecciones generales del 10 de Noviembre al Gobierno de […]
2da Jornada TLHs para una Sociedad Inclusiva, Igualitaria y Accesible
El próximo 24 de Octubre el Grupo de Procesamiento de Lenguaje y Sistemas Informáticos (GPLSI) de la Universidad de Alicante realizará la segunda jornada “TLHs para una sociedad Inclusiva, Igualitaria […]
Fighting post-truth using natural language processing: A review and open challenge
Post-truth is a term that describes a distorting phenomenon that aims to manipulate public opinion and behavior. One of its key engines is the spread of Fake News. Nowadays most […]
EmoLabel: Semi-Automatic Methodology for Emotion Annotation of Social Media Text
The exponential growth of the amount of subjective information on the Web 2.0. has caused an increasing interest from researchers willing to develop methods to extract emotion data from these […]
The Effect of Various Straightforward Summarization Techniques on Informativeness of Abstractive Summaries
In the present paper we describe how a straight forward abstractive text summarization method based on syntactic text simplification, subject-verb-object concept frequency scoring and a set of rules that transform […]
Towards Adapting Automatic Text Summarization for L2 Learners: Does Compression Rate Affect Summary Readability?
This paper addresses the problem of readability of automatically generated summaries in the context of second language learning. For this we experimented with a new corpus of level-annotated simplified English […]