ListarLingua e Sociedade da Información (Language in the Information Society) (LYS) por tema "Natural language processing"

Mostrando ítems 21-24 de 24

    • Sequence Tagging for Fast Dependency Parsing 

      Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (2019)
      [Abstract] Dependency parsing has been built upon the idea of using parsing methods based on shift-reduce or graph-based algorithms in order to identify binary dependency relations between the words in a sentence. In this ...

    • Towards Robust Word Embeddings for Noisy Texts 

      Doval, Yerai; Vilares, Jesús; Gómez-Rodríguez, Carlos (MDPI, 2020)
      [Abstract] Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and other types of non-standard writing ...

    • 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 ...

    • Universal, unsupervised (rule-based), uncovered sentiment analysis 

      Vilares, David; Gómez-Rodríguez, Carlos; Alonso, Miguel A. (Elsevier, 2017-02)
      [Abstract]: We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) ...