Bienvenidos al Repositorio Digital de la UPF

El repositorio institucional recoge, difunde y preserva la producción intelectual en formato digital que resulta de la actividad académica e investigadora de la UPF, las revistas científicas y las publicaciones institucionales. Su finalidad es contribuir a aumentar el impacto de la investigación hecha en la UPF y preservar la memoria intelectual de la UPF.

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Añadido Recientemente

  • Silberer, Carina; Ponzetto, Simone Paolo (ACL (Association for Computational Linguistics), 2010)
    We describe the University of Heidelberg (UHD) system for the Cross-LingualWord Sense Disambiguation SemEval-2010 task (CL-WSD). The system performs CLWSD by applying graph algorithms previously developed for monolingual ...
  • Silberer, Carina; Lapata, Mirella (ACL (Association for Computational Linguistics), 2012)
    A popular tradition of studying semantic representation has been driven by the assumption that word meaning can be learned from the linguistic environment, despite ample evidence suggesting that language is grounded in ...
  • Silberer, Carina; Frank, Anette (ACL (Association for Computational Linguistics), 2012)
    Linking implicit semantic roles is a challenging problem in discourse processing. Unlike prior work inspired by SRL, we cast this problem as an anaphora resolution task and embed it in an entity-based coreference ...
  • Silberer, Carina; Ferrari, Vittorio; Lapata, Mirella (ACL (Association for Computational Linguistics), 2013)
    We consider the problem of grounding the meaning of words in the physical world and focus on the visual modality which we represent by visual attributes. We create a new large-scale taxonomy of visual attributes covering ...
  • Silberer, Carina; Ferrari, Vittorio; Lapata, Mirella (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    In this paper we address the problem of grounding distributional representations of lexical meaning. We introduce a new model which uses stacked autoencoders to learn higher-level representations from textual and visual ...

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