Recent Submissions

  • Absolute convergence and error thresholds in non-active adaptive sampling 

    Vilares Ferro, Manuel; Darriba Bilbao, Víctor M.; Vilares, Jesús (Elsevier Inc., 2022-05)
    [Abstract] Non-active adaptive sampling is a way of building machine learning models from a training data base which are supposed to dynamically and automatically derive guaranteed sample size. In this context and regardless ...
  • On the Logistical Difficulties and Findings of Jopara Sentiment Analysis 

    Agüero-Torales, Marvin M.; Vilares, David; López-Herrera, Antonio G. (Association for Computational Linguistics, 2021-06)
    [Abstract] This paper addresses the problem of sentiment analysis for Jopara, a code-switching language between Guarani and Spanish. We first collect a corpus of Guarani-dominant tweets and discuss on the difficulties of ...
  • Multitask Pointer Network for Multi-Representational Parsing 

    Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier, 2022-01-25)
    [Abstract] Dependency and constituent trees are widely used by many artificial intelligence applications for representing the syntactic structure of human languages. Typically, these structures are separately produced by ...
  • On the Use of Parsing for Named Entity Recognition 

    Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021-01-25)
    [Abstract] Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities ...
  • Sentiment Analysis for Fake News Detection 

    Alonso, Miguel A.; Vilares, David; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021)
    [Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...

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