Browsing by Author "Wanner, Leo"

Sort by: Order: Results:

  • A Demo of FORGe: the Pompeu Fabra open rule-based generator
    Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2017)
    This demo paper presents the multilingual deep sentence generator developed by the TALN group at Universitat Pompeu Fabra, implemented as a series of rule-based graphtransducers.
  • A hybrid framework for news clustering based on the DBSCAN-Martingale and LDA
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Wanner, Leo (Springer, 2016)
    Nowadays there is an important need by journalists and media monitoring companies to cluster news in large amounts of web articles, in order to ensure fast access to their topics or events of interest. Our aim in this work ...
  • A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content
    Vrochidis, Stefanos; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Liparas, Dimitris; Casamayor, Gerard; Wanner, Leo; Heise, Nicolaus; Wagner, Tilman; Bilous, Andriy; Jamin, Emmanuel; Simeonov, Boyan; Alexiev, Vladimir; Busch, Reinhard; Arapakis, Ioannis; Kompatsiaris, Ioannis (Frontiers, 2018)
    Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring ...
  • A neural network architecture for multilingual punctuation generation
    Ballesteros, Miguel; Wanner, Leo (ACL (Association for Computational Linguistics), 2016)
    Even syntactically correct sentences are perceived as awkward if they do not contain correct punctuation. Still, the problem of automatic generation of punctuation marks has been largely neglected for a long time. We/npresent ...
  • A quantitative approach to concept analysis
    Nazar, Rogelio (Universitat Pompeu Fabra, 2010-10-01)
    The present research focuses on the study of the distribution of lexis in corpus and its aim is to inquire into the relations that exist between concepts through the occurrences of the terms that designate them. The initial ...
  • A Semi-supervised approach for gender identification
    Soler Company, Juan; Wanner, Leo (LREC, 2016)
    In most of the research studies on Author Profiling, large quantities of correctly labeled data are used to train the models. However, this does not reflect the reality in forensic scenarios: in practical linguistic forensic ...
  • A Thematicity-based prosody enrichment tool for CTS
    Domínguez Bajo, Mónica; Farrús, Mireia; Wanner, Leo (International Speech Communication Association (ISCA), 2017)
    This paper presents a demonstration of a stochastic prosody tool for enrichment of synthesized speech using SSML prosody tags applied over hierarchical thematicity spans in the context of a CTS application. The motivation ...
  • An automatic prosody tagger for spontaneous speech
    Domínguez Bajo, Mónica; Farrús, Mireia; Wanner, Leo (COLING, 2016)
    Speech prosody is known to be central in advanced communication technologies. However, despite the advances of theoretical studies in speech prosody, so far, no large scale prosody annotated resources that would facilitate ...
  • Assessing the syntactic capabilities of transformer-based multilingual language models
    Pérez-Mayos, Laura; Táboas García, Alba; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2021)
    Multilingual Transformer-based language models, usually pretrained on more than 100 languages, have been shown to achieve outstanding results in a wide range of crosslingual transfer tasks. However, it remains unknown ...
  • Attentional parallel RNNs for generating punctuation in transcribed speech
    Öktem, Alp; Farrús, Mireia; Wanner, Leo (Springer, 2017)
    Until very recently, the generation of punctuation marks for automatic speech recognition (ASR) output has been mostly done by looking at the syntactic structure of the recognized utterances. Prosodic cues such as breaks, ...
  • Automatic extraction of parallel speech corpora from dubbed movies
    Öktem, Alp; Farrús, Mireia; Wanner, Leo (ACL (Association for Computational Linguistics), 2017)
    This paper presents a methodology to extract parallel speech corpora based on any language pair from dubbed movies, together with an application framework in which some corresponding prosodic parameters are extracted. ...
  • CollFrEn: rich bilingual English–French collocation resource
    Fisas Elizalde, Beatriz; Espinosa-Anke, Luis; Codina Filbà, Joan; Wanner, Leo (ACL (Association for Computational Linguistics), 2020)
    Collocations in the sense of idiosyncratic lexical co-occurrences of two syntactically bound words traditionally pose a challenge to language learners and many Natural Language Processing (NLP) applications alike. Reliable ...
  • Collocation and collocation error processing in the context of second language learning
    Rodríguez Fernández, Sara (Universitat Pompeu Fabra, 2018-03-19)
    Suele admitirse que las colocaciones en el sentido de coocurrencias idiosincráticas de palabras son un reto en el aprendizaje de lenguas. Los estudiantes producen frecuentemente combinaciones “agramaticales”' como *dar una ...
  • Combining acoustic and linguistic features in phrase-oriented prosody prediction
    Domínguez Bajo, Mónica; Farrús, Mireia; Wanner, Leo (International Speech Communication Association (ISCA), 2016)
    Intonation is traditionally considered to be the most important prosodic feature, whereupon an important research effort has been devoted to automatic segmentation and labeling of speech samples to grasp intonation cues. ...
  • Compilation of Corpora for the study of the Information Structure-Prosody interface
    Domínguez Bajo, Mónica; Burga Díaz, Alicia; Farrús, Mireia; Wanner, Leo (ELRA (European Language Resources Association), 2018)
    Theoretical studies on the Information Structure–prosody interface argue that the content packaged in terms of theme and rheme correlates with the intonation of the corresponding sentence. However, there are few empirical ...
  • Data-driven deep-syntactic dependency parsing
    Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (Cambridge University Press, 2016)
    ‘Deep-syntactic’ dependency structures that capture the argumentative, attributive and co-/nordinative relations between full words of a sentence have a great potential for a number/nof NLP-applications. The abstraction ...
  • Data-driven sentence generation with non-isomorphic trees
    Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2015)
    Abstract structures from which the generation naturally starts often do not contain any functional nodes, while surface-syntactic structures or a chain of tokens in a linearized tree contain all of them. Therefore, data-driven ...
  • Deep stochastic sentence generation : resources and strategies
    Mille, Simon (Universitat Pompeu Fabra, 2014-07-25)
    The present Ph.D. thesis addresses the problem of deep data-driven Natural Language Generation (NLG), and in particular the role of proper corpus annotation schemata for stochastic sentence realization. The lack of multilevel ...
  • Design of knowledge-based agent as a social companion
    Wanner, Leo; André, Elisabeth; Blat, Josep; Dasiopoulou, Stamatia; Farrús, Mireia; Fraga, Thiago; Kamateri, Eleni; Lingenfelser, Florian; Llorach, Gerard; Martínez, Oriol; Meditskos, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico Mateo; Vieru, Bianca; Vrochidis, Stefanos (Elsevier, 2017)
    We present work in progress on an intelligent embodied conversation agent that is supposed to act as a social companion with linguistic and emotional competence in the context of basic and health care. The core of the agent ...
  • Evaluating language models for the retrieval and categorization of lexical collocations
    Espinosa-Anke, Luis; Codina Filbà, Joan; Wanner, Leo (ACL (Association for Computational Linguistics), 2021)
    Lexical collocations are idiosyncratic combinations of two syntactically bound lexical items (e.g., “heavy rain”, “take a step” or “undergo surgery”). Understanding their degree of compositionality and idiosyncrasy, as ...