Recent Submissions

  • TALP at eHealth-KD Challenge 2020: Multi-level recurrent and convolutional neural networks for joint classification of key-phrases and relations 

    Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2020)
    Conference report
    Open Access
    This article describes the model presented by the TALP Team to IberLEF’s eHealth Knowledge Discovery 2020 shared task[1]. The model iterates over the idea of using a single model for simultaneously identify key-phrases and ...
  • Extracting annotations from textual descriptions of processes 

    Quishpi Betún, Luis Hernán; Carmona Vargas, Josep; Padró, Lluís (Springer, 2020)
    Conference report
    Open Access
    Organizations often have textual descriptions as a way to document their main processes. These descriptions are primarily used by the company’s personnel to understand the processes, specially for those ones that cannot ...
  • Textual visual semantic dataset for text spotting 

    Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Text Spotting in the wild consists of detecting and recognizing text appearing in images (e.g. signboards, traffic signals or brands in clothing or objects). This is a challenging problem due to the complexity of the context ...
  • Enhancing text spotting with a language model and visual context information 

    Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (IOS Press, 2018)
    Conference report
    Open Access
    This paper addresses the problem of detecting and recognizing text in images acquired ‘in the wild’. This is a severely under-constrained problem which needs to tackle a number of challenges including large occlusions, ...
  • Semantic relatedness based re-ranker for text spotting 

    Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (2019)
    Conference lecture
    Open Access
    Applications such as textual entailment, plagiarism detection or document clustering rely on the notion of semantic similarity, and are usually approached with dimension reduction techniques like LDA or with embedding-based ...
  • Visual re-ranking with natural language understanding for text spotting 

    Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (2018)
    Conference lecture
    Open Access
    Many scene text recognition approaches are based on purely visual information and ignore the semantic relation between scene and text. In this paper, we tackle this problem from natural language processing perspective to ...
  • From process models to chatbots 

    López Cuenca, Francisco Anselmo; Sánchez Ferreres, Josep; Carmona Vargas, Josep; Padró, Lluís (Springer, 2019)
    Conference report
    Open Access
    The effect of digital transformation in organizations needs to go beyond automation, so that human capabilities are also augmented. A possibility in this direction is to make formal representations of processes more ...
  • Approximate computation of alignments of business processes through relaxation labelling 

    Padró, Lluís; Carmona Vargas, Josep (Springer, 2019)
    Conference report
    Open Access
    A fundamental problem in conformance checking is aligning event data with process models. Unfortunately, existing techniques for this task are either complex, or can only be applicable to restricted classes of models. This ...
  • Formal reasoning on natural language descriptions of processes 

    Sánchez Ferreres, Josep; Burattin, Andrea; Carmona Vargas, Josep; Montali, Marco; Padró, Lluís (Springer, 2019)
    Conference report
    Open Access
    The existence of unstructured information that describes processes represents a challenge in organizations, mainly because this data cannot be directly referred into process-aware ecosystems due to ambiguities. Still, this ...
  • eHealth Eurocampus: An innovative educational framework to train qualified professionals in the emerging ehealth sector 

    Gonzalez Cid, Yolanda; Guerrero Tomé, Carlos; Lobo, Joao; Tarbal Roquero, Arian; Picking, Richard; Castell Ariño, Núria; Abdelaziz, Salih; Voegel, Bernd; Tous, Xisco; Pattichis, Constantinos; Rigaud, Bernard (International Association of Technology, Education and Development (IATED), 2019)
    Conference lecture
    Open Access
    The aim of this paper is to present the results of an initiative called the eHealth Eurocampus (http://ehealtheurocampus.eu), whose main goal is to define a framework to prepare professionals for the eHealth work environment. ...
  • eHealth Eurocampus Project: preparing innovative ICT professionals 

    Castell Ariño, Núria; Lobo, Joao; Insa, Esther; Picking, Richard; Gonzalez Cid, Yolanda; Abdelaziz, Salih; Voegel, Bernd; Tous, Xisco; Pattichis, Constantinos; Rigaud, Bernard (International Association of Technology, Education and Development (IATED), 2019)
    Conference lecture
    Open Access
    The eHealth Eurocampus project, an EU-funded project, aims at preparing innovative professionals able to cope with the challenge of fostering a spirit of innovation in eHealth in Europe as the way forward to ensure better ...
  • Learning based on challenges in the context of multidisciplinary teamwork in ehealth: an evaluation of the students' experience 

    Graells, Ariadna; Castell Ariño, Núria; Insa, Esther (International Association of Technology, Education and Development (IATED), 2019)
    Conference report
    Open Access
    Education in eHealth is becoming of transcendental importance in the European social context. The progressive aging of the population has generated an increase in the prevalence of people with disabilities who demand more ...

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