Recent Submissions

  • Fault detection and identification in a fuel cell system 

    Escobet Canal, Antoni; Nebot Castells, M. Àngela (IOS Press, 2009)
    Conference report
    Restricted access - publisher's policy
    In this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink ...
  • Actionable conformance checking: from intuitions to code 

    Carmona Vargas, Josep; Weidlich, Matthias; Dongen, Boudewijn F. van (Springer, 2019)
    Conference report
    Open Access
    Conformance checking is receiving increasing attention in the last years. This is due to several reasons, that can be summarized into two: the explosion of digital information that talks about processes, and the need to ...
  • 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. ...
  • GeBioToolkit: automatic extraction of gender-balanced multilingual corpus of Wikipedia biographies 

    Ruiz Costa-Jussà, Marta; Li Lin, Pau; España Bonet, Cristina (European Language Resources Association (ELRA), 2020)
    Conference lecture
    Open Access
    We introduce GeBioToolkit, a tool for extracting multilingual parallel corpora at sentence level, with document and gender information from Wikipedia biographies. Despite the gender inequalities present in Wikipedia, the ...
  • 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 ...
  • Fine-tuning neural machine translation on gender-balanced datasets 

    Ruiz Costa-Jussà, Marta; de Jorge Sánchez, Adrián (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    Misrepresentation of certain communities in datasets is causing big disruptions in artificial intelligence applications. In this paper, we propose using an automatically extracted gender-balanced dataset parallel corpus ...
  • 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 ...
  • Multilingual neural machine translation: case-study for Catalan, Spanish and Portuguese romance languages 

    Vergés Boncompte, Pere; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    In this paper, we describe the TALP-UPC participation in the WMT Similar Language Translation task between Catalan, Spanish, and Portuguese, all of them, Romance languages. We made use of different techniques to improve ...
  • 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 ...
  • The IPN-CIC team system submission for the WMT 2020 similar language task 

    Menéndez-Salazar, Luis A.; Sidorov, Grigori; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2020)
    Conference lecture
    Open Access
    This paper describes the participation of the NLP research team of the IPN Computer Research center in the WMT 2020 Similar Language Translation Task. We have submitted systems for the Spanish-Portuguese language pair (in ...
  • On list k-coloring convex bipartite graphs 

    Díaz Cort, Josep; Yasar Diner, Oznur; Serna Iglesias, María José; Serra Albó, Oriol (Springer, 2020)
    Conference report
    Restricted access - publisher's policy
    List k–Coloring (LI k-COL) is the decision problem asking if a given graph admits a proper coloring compatible with a given list assignment to its vertices with colors in {1,2,..., k}. The problem is known to be NP-hard ...
  • Modelling temporal relationships in pseudomonas aeruginosa antimicrobial resistance prediction in intensive care unit 

    Hernàndez Carnerero, Àlvar; Sànchez-Marrè, Miquel; Mora Jiménez, Inmaculada; Soguero Riuz, Cristina; Martínez Agüero, Sergio; Álvarez Rodríguez, Joaquín (CEUR-WS.org, 2020)
    Conference lecture
    Open Access
    In this paper, the prediction of antimicrobial resistance of Pseudomonas aeruginosa bacteria caused by nosocomial infections in the Intensive Care Unit (ICU) was considered. It was trained a Logistic Regression model using ...

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