Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por autor "Vilares Ferro, Manuel"

Mostrando ítems 1-6 de 6

    • Absolute convergence and error thresholds in non-active adaptive sampling 

      Vilares Ferro, Manuel; Darriba Bilbao, Víctor M.; Vilares, Jesús (Elsevier Inc., 2022-05)
      [Abstract] Non-active adaptive sampling is a way of building machine learning models from a training data base which are supposed to dynamically and automatically derive guaranteed sample size. In this context and regardless ...

    • Intelligent retrieval for biodiversity 

      Vilares Ferro, Manuel; Fernández, Milagros; Blanco, Adrián; Gómez-Rodríguez, Carlos (2016-02)
      [Abstract] A knowledge discovery and representation frame to mine contents in systems biology is described. It applies natural language processing to integrate linguistic and domain knowledge in a mathematical model for ...

    • On the Feasibility of Character n-Grams Pseudo-Translation for Cross-Language Information Retrieval Tasks 

      Vilares, Jesús; Vilares Ferro, Manuel; Alonso, Miguel A.; Oakes, Michael P. (2016-03)
      [Abstract] The field of Cross-Language Information Retrieval relates techniques close to both the Machine Translation and Information Retrieval fields, although in a context involving characteristics of its own. The present ...

    • On the performance of phonetic algorithms in microtext normalization 

      Doval, Yerai; Vilares Ferro, Manuel; Vilares, Jesús (Elsevier, 2018-12-15)
      [Abstract]: User–generated content published on microblogging social networks constitutes a priceless source of information. However, microtexts usually deviate from the standard lexical and grammatical rules of the language, ...

    • Studying the Effect and Treatment of Misspelled Queries in Cross-Language Information Retrieval 

      Vilares, Jesús; Alonso, Miguel A.; Doval, Yerai; Vilares Ferro, Manuel (2016-07)
      [Abstract] The performance of Information Retrieval systems is limited by the linguistic variation present in natural language texts. Word-level Natural Language Processing techniques have been shown to be useful in reducing ...

    • Surfing the Modeling of pos Taggers in Low-Resource Scenarios 

      Vilares Ferro, Manuel; Darriba Bilbao, Víctor M.; Ribadas Pena, Francisco José; Graña Gil, Jorge (MDPI, 2022-09-27)
      [Abstract] The recent trend toward the application of deep structured techniques has revealed the limits of huge models in natural language processing. This has reawakened the interest in traditional machine learning ...