Recent Submissions

  • Concept design of a multiwavelength aerosol lidar system with mitigated diattenuation effects and depolarization-measurement capability 

    Comerón Tejero, Adolfo; Sicard, Michaël; Vidal Calvo, Eric; Barragán Cuesta, Rubén; Muñoz Porcar, Constantino; Rodríguez Gómez, Alejandro Antonio; Tiana Alsina, Jordi; Rocadenbosch Burillo, Francisco; García Vizcaíno, David (EDP Sciences, 2015)
    Conference lecture
    Open Access
    It is known that the retrieval of aerosol extinction and backscatter coefficients from lidar data acquired through so-called total-power channels – intended to measure the backscattered power irrespective of the polarization ...
  • Characterization of THz radiation by collimated wavefront aperture raster scanning 

    Nuño Gómez, Daniel-Juan; Santos Blanco, M. Concepción; Gomez Diaz, J. Sebastian; Romeu Robert, Jordi; Jofre Roca, Lluís (Universidad de Málaga, 2020)
    Conference report
    Open Access
    We present measurements for characterization of the beam profile and polarization pattern of lens-coupled photoconductive antennas (PCAs) at THz frequencies using a setup with antennas at fixed positions and a movable ...
  • Syntax-driven iterative expansion language models for controllable text generation 

    Casas Manzanares, Noé; Rodríguez Fonollosa, José Adrián; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    The dominant language modeling paradigm handles text as a sequence of discrete tokens. While that approach can capture the latent structure of the text, it is inherently constrained to sequential dynamics for text generation. ...
  • Enhancing word embeddings with knowledge extracted from lexical resources 

    Biesialska, Magdalena Marta; Rafieian, Bardia; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    In this work, we present an effective method for semantic specialization of word vector representations. To this end, we use traditional word embeddings and apply specialization methods to better capture semantic relations ...
  • Findings of the first shared task on lifelong learning machine translation 

    Barrault, Loïc; Biesialska, Magdalena Marta; Ruiz Costa-Jussà, Marta; Bougares, Fethi; Galibert, Olivier (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    A lifelong learning system can adapt to new data without forgetting previously acquired knowledge. In this paper, we introduce the first benchmark for lifelong learning machine translation. For this purpose, we provide ...
  • The TALP-UPC system description for WMT20 news translation task: multilingual adaptation for low resource MT 

    Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    In this article, we describe the TALP-UPC participation in the WMT20 news translation shared task for Tamil-English. Given the low amount of parallel training data, we resort to adapt the task to a multilingual system to ...
  • Continual lifelong learning in natural language processing: a survey 

    Biesialska, Magdalena Marta; Biesialska, Katarzyna; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    Continual learning (CL) aims to enable information systems to learn from a continuous data stream across time. However, it is difficult for existing deep learning architectures to learn a new task without largely forgetting ...
  • Motional behavior estimation using simple spectral estimation: application to the off-shore wind lidar 

    Salcedo Bosch, Andreu; Rocadenbosch Burillo, Francisco; Gutiérrez Antuñano, Miguel Ángel; Tiana Alsina, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    This paper proposes two methods to estimate the so-called “characteristic motional period” of a floating wind-lidar buoy. These techniques aim to characterise the buoy's pitch and roll tilting as simple harmonic motions ...
  • Floating Doppler Wind Lidar measurement of wind turbulence: a cluster analysis 

    Salcedo Bosch, Andreu; Gutiérrez Antuñano, Miguel Ángel; Tiana Alsina, Jordi; Rocadenbosch Burillo, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The standard deviation of the Horizontal Wind Speed as a proxy of wind turbulence is used to compare the apparent wind turbulence measured by an off-shore floating Doppler lidar to the one measured by a fixed lidar on a ...
  • Offshore Doppler Wind LiDAR assessment of atmospheric stability 

    Silva, Marcos Paulo Araujo da; Salcedo Bosch, Andreu; Gutiérrez Antuñano, Miguel Ángel; Rocadenbosch Burillo, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    This paper tackles atmospheric stability typing using a Zephyr™ 300 offshore Doppler Wind Lidar in the context of its progressive acceptance in the offshore wind-energy industry. The lidar-retrieved wind-shear exponent, ...
  • Modelling multi-vendor transponders performance and optimizing launch power 

    Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez Rivera, Ricardo Victor; Spadaro, Salvatore; Muñoz González, Raül (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    We propose physical layer model extensions that capture the performance variations of multivendor transponders and use those with appropriate algorithms to optimize connections’ launch powers. We estimated potential SNR ...
  • Filter features extraction from optical spectra 

    Locatelli, Fabiano; Christodoulopoulos, Kostantinos; Fàbrega Sánchez, Josep Maria; Svaluto Moreolo, Michela; Nadal Reixats, Laia; Spadaro, Salvatore (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    We propose a method to estimate the central frequency and the bandwidth of optical filters, that relies on optical spectra captured with optical channel monitors at ROADM’s ingress port. We demonstrate for both features ...

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