• Dependency parsing with bottom-up Hierarchical Pointer Networks 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier, 2023-03)
      [Abstract] Dependency parsing is a crucial step towards deep language understanding and, therefore, widely demanded by numerous Natural Language Processing applications. In particular, left-to-right and top-down transition-based ...
    • Discontinuous grammar as a foreign language 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier, 2023-03)
      [Abstract] In order to achieve deep natural language understanding, syntactic constituent parsing is a vital step, highly demanded by many artificial intelligence systems to process both text and speech. One of the most ...
    • Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier B.V., 2019-10)
      [Absctract]: An increasingly wide range of artificial intelligence applications rely on syntactic information to process and extract meaning from natural language text or speech, with constituent trees being one of the ...
    • Multitask Pointer Network for Multi-Representational Parsing 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier, 2022-01-25)
      [Abstract] Dependency and constituent trees are widely used by many artificial intelligence applications for representing the syntactic structure of human languages. Typically, these structures are separately produced by ...
    • Transition-based semantic role labeling with pointer networks 

      Fernández-González, Daniel (Elsevier, 2023-01-25)
      [Abstract] Semantic role labeling (SRL) focuses on recognizing the predicate–argument structure of a sentence and plays a critical role in many natural language processing tasks such as machine translation and question ...