Envíos recientes

  • Identificación Automática del Idioma en Twitter: Adaptación de Identificadores del Estado del Arte al Contexto Ibérico 

    Doval, Yerai; Vilares, David; Vilares Ferro, Jesús (CEUR-WS.org, 2014)
    [Abstract]: We describe here our partipation in TweetLID. After having studied the problem of language identification, the resources available, and designed a text conflation approach for this kind of tasks, we joined ...
  • Transition-based Semantic Dependency Parsing with Pointer Networks 

    Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2020-07)
    [Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in ...
  • Viable Dependency Parsing as Sequence Labeling 

    Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2019-06)
    [Abstract]: We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, ...
  • Constituent Parsing as Sequence Labeling 

    Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics (ACL), 2018)
    [Absctract]: We introduce a method to reduce constituent parsing to sequence labeling. For each word wt, it generates a label that encodes: (1) the number of ancestors in the tree that the words wt and wt+1 have in common, ...
  • Left-to-Right Dependency Parsing with Pointer Networks 

    Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2019)
    [Abstract]: We propose a novel transition-based algorithm that straightforwardly parses sentences from left to right by building n attachments, with n being the length of the input sentence. Similarly to the recent ...

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