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Visualitzant Congressos (Departament de Traducció i Ciències del Llenguatge) per títol

Visualitzant Congressos (Departament de Traducció i Ciències del Llenguatge) per títol

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  • Are gesture and prosodic prominences always coordinated?: evidence from perception and production
    Esteve Gibert, Núria; Pons Gimeno, Ferran; Bosch, Laura; Prieto Vives, Pilar, 1965- (International Speech Communication Association, 2014)
    This study explores the temporal coordination between gesture and speech by addressing two main questions: (1) Are speakers sensitive to the misalignment between gesture prominence and prosodic prominence? (2) Is this ...
  • The arText prototype: an automatic system for writing specialized texts
    da Cunha Fanego, Iria; Montané March, M. Amor; Hysa, Luis (ACL (Association for Computational Linguistics), 2017)
    This article describes an automatic system for writing specialized texts in Spanish. The arText prototype is a free online text editor that includes different types of linguistic information. It is designed for a variety ...
  • Asking between the lines: elicitation of evoked questions in text
    Westera, Matthijs; Rohde, Hannah (Institute for Logic, Language and Computation (ILLC), 2019)
    We introduce a novel, scalable method aimed at annotating potential and actual Questions Under Discussion (QUDs) in naturalistic discourse. It consists of asking naive participants first what questions a certain portion ...
  • Aspect in the service of mood: the morphosyntax of subjunctive in Griko
    Quer, Josep, 1965-; Lekakou, Marika (Modern Greek Dialects and Linguistic Theory, 2016)
    The topic of this paper is the realization of subjunctive mood in Griko. On the basis of the distribution of verbal forms inside na-clauses, we put forward the claim that, unlike Standard Modern Greek, in Griko subjunctive ...
  • Automatic acquisition of grammatical types for nouns
    Bel Rafecas, Núria; Espeja, Sergio; Marimon, Montserrat (ACL (Association for Computational Linguistics), 2007)
    The work we present here is concerned with the acquisition of deep grammatical information for nouns in Spanish. The aim is to build a learner that can handle noise, but, more interestingly, that is able to overcome the ...
  • Automatic Detection of Non-deverbal Event Nouns for Quick Lexicon Production
    Bel Rafecas, Núria; Coll, Maria; Resnik, Gabriela (ACL (Association for Computational Linguistics), 2010)
    In this work we present the results of experimental work on the development of lexical class-based lexica by automatic means. Our purpose is to assess the use of linguistic lexical-class based information as a feature ...
  • Automatic Extraction of Polar Adjectives for the Creation of Polarity Lexicons
    Vázquez, Silvia; Padró, Muntsa; Bel Rafecas, Núria; Gonzalo, Julio (ACL (Association for Computational Linguistics), 2012)
    Automatic creation of polarity lexicons is a crucial issue to be solved in order to reduce time and/nefforts in the first steps of Sentiment Analysis. In this paper we present a methodology based on/nlinguistic cues that ...
  • Automatic Lexical Semantic Classification of Nouns
    Bel Rafecas, Núria; Romeo, Lauren; Padró, Muntsa (ELRA (European Language Resources Association), 2012)
    The work we present here addresses cue-based noun classification in English and Spanish. Its main objective is to automatically acquire lexical semantic information by classifying nouns into previously known noun lexical ...
  • Boosting the creation of a treebank
    Arias Badia, Blanca; Bel Rafecas, Núria; Fomicheva, Marina; Larrea Mendizabal, Imanol; Lorente, Mercè; Marimon, Montserrat; Milà-Garcia, Alba; Vivaldi, J. (Jorge), 1952-; Padró, Muntsa (ELRA (European Language Resources Association), 2014)
    We present the results of the experiment of bootstrapping a Treebank for Catalan by using a Dependency Parser trained with Spanish sentences. In order to save time and cost, our approach was to profit from the typological ...
  • Bridging information-theoretic and geometric compression in language models
    Cheng, Emily; Kervadec, Corentin; Baroni, Marco (ACL (Association for Computational Linguistics), 2023)
    For a language model (LM) to faithfully model human language, it must compress vast, potentially infinite information into relatively few dimensions. We propose analyzing compression in (pre-trained) LMs from two points ...
  • Brief training with rhythmic beat gestures helps L2 pronunciation in a reading aloud task
    Prieto Vives, Pilar, 1965-; Llanes-Coromina, Judith; Rohrer, Patrick Louis (International Speech Communication Association (ISCA), 2018)
    The aim of this study is to assess whether a brief training with rhythmic beat gestures helps L2 pronunciation in a reading aloud task with high school students. In a between-subjects pretest-posttest design, a total of ...
  • Building a multilingual lexical resource for named entity disambiguation, translation and transliteration
    Wentland, Wolodja; Silberer, Carina; Hartung, Matthias (ELRA (European Language Resources Association), 2008)
    In this paper, we present HeiNER, the multilingual Heidelberg Named Entity Resource. HeiNER contains 1,547,586 disambiguated English Named Entities together with translations and transliterations to 15 languages. Our work ...
  • Can discrete information extraction prompts generalize across language models?
    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 ...
  • Can domain adaptation be handled as analogies?
    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, ...
  • Casting implicit role linking as an anaphora resolution task
    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 ...
  • Catalan intransitive verbs and argument realization
    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 ...
  • Challenges in including extra-linguistic context in pre-trained language models
    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). ...
  • Choosing which to use? A study of distributional models for nominal lexical semantic classification
    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 ...
  • Class-based word sense induction for dot-type nominals
    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 ...
  • CNNs found to jump around more skillfully than RNNs: compositional generalization in seq2seq convolutional networks
    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. ...

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