Recent Submissions

  • A System for Explainable Answer Set Programming 

    Cabalar, Pedro; Fandinno, Jorge; Muniz, Brais (Open Publishing Association, 2020-09-19)
    [Abstract] We present xclingo, a tool for generating explanations from ASP programs annotated with text and labels. These annotations allow tracing the application of rules or the atoms derived by them. The input of ...
  • aspBEEF: Explaining Predictions Through Optimal Clustering 

    Cabalar, Pedro; Martín, Rodrigo; Muñiz, Brais; Pérez, Gilberto (MDPI AG, 2020-08-28)
    [Abstract] In this paper we introduce aspBEEF, a tool for generating explanations for the outcome of an arbitrary machine learning classifier. This is done using Grover’s et al. framework known as Balanced English ...
  • Designing an Open Source Virtual Assistant 

    Pérez Vila, Anxo; López-Otero, Paula; Parapar, Javier (MDPI AG, 2020-08-21)
    [Abstract] A chatbot is a type of agent that allows people to interact with an information repository using natural language. Nowadays, chatbots have been incorporated in the form of conversational assistants on the most ...
  • Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings 

    Landin, Alfonso; Parapar, Javier; Barreiro, Alvaro (Springer, 2020-04-08)
    [Abstract] Nowadays, item recommendation is an increasing concern for many companies. Users tend to be more reactive than proactive for solving information needs. Recommendation accuracy became the most studied aspect of ...
  • eRisk 2020: autolesiones y desafíos de la depresión 

    Losada, David E.; Crestani, Fabio; Parapar, Javier (Springer, 2020-04-08)
    [Abstract] This paper describes eRisk, the CLEF lab on early risk prediction on the Internet. eRisk started in 2017 as an attempt to set the experimental foundations of early risk detection. Over the last three editions ...

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