Browsing by Author "Bel Rafecas, Núria"

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  • Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2014)
    The work detailed in this paper describes a 2-step cascade approach for the classification of complex-type nominals. We describe an experiment that demonstrates how a cascade approach performs when the task consists in ...
  • Vázquez, Silvia; Bel Rafecas, Núria (ELRA (European Language Resources Association), 2012)
    Subjective language detection is one of the most important challenges in Sentiment Analysis. Because of the weight and frequency in opinionated texts, adjectives are considered a key piece in the opinion extraction process. ...
  • Aguado, Mercedes; Bel Rafecas, Núria (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2022)
    With the deployment of Electronic Health Records, much effort is being devoted to the development of Natural Language Processing tools that convert information described in these clinical records into structured data to ...
  • Bel Rafecas, Núria; Padró, Muntsa; Necşulescu, Silvia (ACL (Association for Computational Linguistics), 2011)
    Lexical Resources are a critical component for Natural Language Processing applications. However, the high cost of comparing and merging different resources has been a bottleneck to obtain richer resources and a broader ...
  • Del Tredici, Marco; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2015)
    We present a method for the detection and representation of polysemous nouns, a phenomenon that has received little attention in NLP. The method is based on the exploitation of the semantic information preserved in Word ...
  • Cao, Shuyuan; da Cunha Fanego, Iria; Bel Rafecas, Núria (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2016)
    The translation between Spanish and Chinese is particularly complicated because of the extensive grammatical, syntactic and discursive differences between the two languages. In this paper, based on the discourse marker in ...
  • Marimon, Montserrat; Seghezzi, Natalia; Bel Rafecas, Núria (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2007)
    En este artículo presentamos el componente léxico de una gramática para el español. Nuestro objetivo es describir la información lingüística que codificamos en las entradas léxicas mediante una jerarquía de tipos con ...
  • Marimon, Montserrat; Vivaldi, J. (Jorge), 1952-; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2017)
    This paper presents the IULA Spanish Clinical Record Corpus, a corpus of 3,194 sentences extracted from anonymized clinical records and manually annotated with negation markers and their scope. The corpus was conceived as ...
  • Martínez Alonso, Héctor; Sandford Pedersen, Bolette; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2013)
    We present the result of an annotation task on regular polysemy for a series of semantic classes or dot types in English, Danish and Spanish. This article describes the annotation process, the results in terms of inter-encoder ...
  • Martínez Alonso, Héctor (Universitat Pompeu Fabra, 2013-12-19)
    Words that belong to a semantic type, like location, can metonymically behave as a member of another semantic type, like organization. This phenomenon is known as regular polysemy. In Pustejovsky's (1995) Generative Lexicon, ...
  • Poch, Marc; Prokopidis, Prokopis; Thurmair, Gregor; Schnober, Carsten; Del Gratta, Riccardo; Bel Rafecas, Núria; Hamon, Olivier (2014-05-26)
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Marimon, Montserrat; Bel Rafecas, Núria; Padró, Lluís (ACL (Association for Computational Linguistics), 2014)
    This article presents an ensemble parse approach to detecting and selecting high-quality linguistic analyses output by a hand-crafted HPSG grammar of Spanish implemented in the LKB system. The approach uses full agreement ...
  • 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 ...
  • 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, ...
  • 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 ...