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

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

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  • Poch, Marc; Toral, Antonio; Hamon, Olivier; Quochi, Valeria; Bel Rafecas, Núria (ELRA (European Language Resources Association), 2012)
    This paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by Machine ...
  • Toral, Antonio; Pecina, Pavel; Way, Andy; Poch, Marc (European Association for Machine Translation, 2011)
    This paper presents a webservice architecture for Statistical Machine Translation aimed at non-technical users. A workflow editor allows a user to combine different webservices using a graphical user interface. In the ...
  • Necsulescu Silvia; Bel Rafecas, Núria; Padró, Muntsa; Marimón, Montserrat; Revilla, Eva (ESSLLI, 2011)
    Language Resources are a critical component for Natural Language Processing applications. Throughout the years many resources were manually created for the same task, but with different granularity and coverage information. ...
  • Padró, Muntsa; Bel Rafecas, Núria; Necsulescu, 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 have richer resources with a broad range ...
  • Padró, Muntsa; Bel Rafecas, Núria; Necsulescu, Silvia (ELRA (European Language Resources Association), 2012)
    This article reports on the results of the research done towards the fully automatically merging of lexical resources. Our main goal is to show the generality of the proposed approach, which have been previously applied ...
  • Romeo, Lauren; Mendes, Sara; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2012)
    Acquiring lexical information is a complex problem, typically approached by relying on a number of contexts to contribute information for classification. One of the first issues to address in this domain is the determination ...
  • Padró, Muntsa; Bel Rafecas, Núria (ACL (Association for Computational Linguistics), 2012)
    In this demonstration we present our web services to perform Bayesian learning for classification tasks.

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