Welcome to the UPF Digital Repository

Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Title

Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Title

Sort by: Order: Results:

  • Rakotonirina, Nathanael Carraz; Dessì, Roberto; Petroni, Fabio; Riedel, Sebastian; Baroni, Marco (International Conference on Learning Representations (ICLR), 2023)
    We study whether automatically-induced prompts that effectively extract information from a language model can also be used, out-of-the-box, to probe other language models for the same information. After confirming that ...
  • Bel Rafecas, Núria; Pocostales, Joel (ACL (Association for Computational Linguistics), 2018)
    Aspect identification in user generated texts by supervised text classification might suffer degradation in performance when changing to other domains than the one used for training. For referring to aspects such as quality, ...
  • 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 ...
  • Alsina i Keith, Àlex; Yang, Fengrong (CSLI Publications, 2018)
    The goal of this paper is to analyze the behavior of the single direct argument of intransitive verbs in Catalan, including its encoding as a grammatical function, verbal agreement, case assignment, and expression by means ...
  • Sorodoc, Ionut-Teodor; Aina, Laura; Boleda, Gemma (ACL (Association for Computational Linguistics), 2022)
    To successfully account for language, computational models need to take into account both the linguistic context (the content of the utterances) and the extra-linguistic context (for instance, the participants in a dialogue). ...
  • Romeo, Lauren; Lebani, Gianluca E.; Bel Rafecas, Núria; Lenci, Alessandro (ACL (Association for Computational Linguistics), 2014)
    This paper empirically evaluates the performances of different state-of-the-art distributional models in a nominal lexical semantic classification task. We consider models that exploit various types of distributional ...
  • Romeo, Lauren; Martínez Alonso, Héctor; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2013)
    This paper describes an effort to capture the sense alternation of dot-type nominals using Word Sense Induction (WSI). We propose dot-type nominals generate more semantically consistent groupings when clustered into more ...
  • Dessi, Roberto; Baroni, Marco (ACL (Association for Computational Linguistics), 2019)
    Lake and Baroni (2018) introduced the SCAN dataset probing the ability of seq2seq models to capture compositional generalizations, such as inferring the meaning of “jump around” 0- shot from the component words. ...
  • Fomicheva, Marina; Bel Rafecas, Núria; Specia, Lucia; da Cunha Fanego, Iria; Malinovskiy, Anton (ACL (Association for Computational Linguistics), 2016)
    The vast majority of Machine Translation (MT) evaluation approaches are based on the idea that the closer the MT output is to a human reference translation, the higher its quality. While translation quality has two ...
  • Dessì, Roberto; Gualdoni, Eleonora; Franzon, Francesca; Boleda, Gemma; Baroni, Marco (ACL (Association for Computational Linguistics), 2022)
    We compare the 0-shot performance of a neural caption-based image retriever when given as input either human-produced captions or captions generated by a neural captioner. We conduct this comparison on the recently ...
  • Sorodoc, Ionut-Teodor; Pezzelle, Sandro; Bernardi, Raffaella (ACL (Association for Computational Linguistics), 2018)
    The present work investigates whether different quantification mechanisms (set comparison, vague quantification, and proportional estimation) can be jointly learned from visual scenes by a multi-task computational model. ...
  • Martín Peris, Ernesto; López Ferrero, Carmen (Asociación para la enseñanza del español como lengua extranjera, 2011)
    Este taller ofrece una aplicación práctica de los planteamientos/nque se presentan en la comunicación La competencia crítica en el aula de español/nL2/LE: textos y contextos, presentada en este Congreso por los autores del ...
  • Alsina i Keith, Àlex; Yang, Fengrong (CSLI Publications, 2019)
    This paper aims to present a theory of expletives1 in English within LFG in which the distribution of expletives follows from general principles and from the lexical entries of the relevant expletives. Consequently, ...
  • Sorodoc, Ionut-Teodor; Boleda, Gemma; Baroni, Marco (ACL (Association for Computational Linguistics), 2021)
    In recent years, the NLP community has shown increasing interest in analysing how deep learning models work. Given that large models trained on complex tasks are difficult to inspect, some of this work has focused ...
  • Boleda, Gemma; Pham, Nghia The; Kruszewski, German (ACL (Association for Computational Linguistics), 2016)
    Convolutional Neural Networks (CNNs) have shown to yield very strong results in several Computer Vision tasks. Their application to language has received much less attention, and it has mainly focused on static classification ...
  • Alsina i Keith, Àlex; Vigo, Eugenio M. (CSLI Publications, 2014)
    In this paper we analyze the phenomenon of copular inversion (CI) in Catalan, which consists in the copula not agreeing with its subject but with its complement. We claim this is due to the idea that in CI-languages verbs ...
  • Dessì, Roberto; Bevilacqua, Michele; Gualdoni, Eleonora; Rakotonirina, Nathanael Carraz; Franzon, Francesca; Baroni, Marco (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Neural captioners are typically trained to mimic humangenerated references without optimizing for any specific communication goal, leading to problems such as the generation of vague captions. In this paper, we show ...
  • Bel Rafecas, Núria; Koster, C. H. A.; Villegas, Marta (Springer, 2003)
    This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which arises when documents in different languages must be classified according to the same classification tree. We describe practical and ...

Search DSpace


Advanced Search

Browse

My Account

In collaboration with Compliant to Partaking