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Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) by Author "Bel Rafecas, Núria"

Browsing Congressos (Departament de Traducció i Ciències del Llenguatge) 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Zevallos, Rodolfo; Bel Rafecas, Núria; Cámbara Ruiz, Guillermo; Farrús, Mireia; Luque, Jordi (International Speech Communication Association (ISCA), 2022)
    Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy systems with word error rates below 5% for ...
  • Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2010)
    We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies that the uncertainty created by missing values, ...
  • Martínez Alonso, Héctor; Sandford Pedersen, Bolette; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2011)
    The following work describes a method to automatically classify the sense selection of the complex type Location/Organization –which depends on regular polysemy– using shallow features, as well as a way to increase the ...
  • Poch, Marc; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2011)
    This document describes some of the technological aspects of a project devoted to the creation of a factory for language resources. The project’s objectives are explained, as well as the idea to create a distributed ...

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