Eransitako azken lanak

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    Simple or Complex? Assessing the readability of Basque Texts 

    González Dios, Itziar ORCID; Aranzabe Urruzola, María Jesús ORCID; Díaz de Ilarraza Sánchez, Arantza ORCID; Salaberri, Haritz (ACL, 2014)
    In this paper we present a readability assessment system for Basque, ErreXail, which is going to be the preprocessing module of a Text Simplification system. To that end we compile two corpora, one of simple texts and ...
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    Contrastive explanations for a deep learning model on time-series data 

    Labaien, Jokin; Zugasti Uriguen, Ekhi; De Carlos, Xabier (Springer, 2020-09-11)
    In the last decade, with the irruption of Deep Learning (DL), artificial intelligence has risen a step concerning previous years. Although Deep Learning models have gained strength in many fields like image classification, ...
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    Spectral Analysis of a Transmission System based on AC Submarine Cables for an Offshore Wind Farm 

    Zubiaga Lazcano, Markel; Abad Biain, Gonzalo; Barrena, Jon Andoni; Aurtenetxea, Sergio; Carcar, Ainhoa (IEEE, 2010-02-17)
    En este artículo se realiza un análisis espectral detallado de un parque eólico marino, basado en cables submarinos de corriente alterna (CA). Se sabe que, debido al carácter capacitivo de estos cables, es común que surjan ...
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    Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations 

    Artetxe Zurutuza, Mikel; Labaka Intxauspe, Gorka ORCID; Agirre Bengoa, Eneko ORCID (Association for the Advancement of Artificial Intelligence, 2018)
    Using a dictionary to map independently trained word embeddings to a shared space has shown to be an effective approach to learn bilingual word embeddings. In this work, we propose a multi-step framework of linear ...

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