• 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 ...
    • Developing Open-Source Roguelike Games for Visually-Impaired Players by Using Low-Complexity NLP Techniques 

      Fernández-Núñez, Luis; Penas, Darío; Viteri Letamendía, Jorge; Vilares, Jesús (MDPI, 2020-08-19)
      [Abstract] The prominent graphic component of video games greatly limits the accessibility of thistype of entertainment by visually impaired users. We make here an overview of the first gamesdeveloped within an initiative ...
    • 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, ...
    • On the Use of Parsing for Named Entity Recognition 

      Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021-01-25)
      [Abstract] Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities ...
    • Segmentación de palabras en español mediante modelos del lenguaje basados en redes neuronales 

      Doval, Yerai; Gómez-Rodríguez, Carlos; Vilares, Jesús (Sociedad Española para el Procesamiento del Lenguaje Natural, 2016-09)
      [Resumen] En las plataformas de microblogging abundan ciertos tokens especiales como los hashtags o las menciones en los que un grupo de palabras se escriben juntas sin espaciado entre ellas; p.ej.: #añobisiesto o ...
    • Sentiment Analysis for Fake News Detection 

      Alonso, Miguel A.; Vilares, David; Gómez-Rodríguez, Carlos; Vilares, Jesús (MDPI, 2021)
      [Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...
    • 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 ...
    • 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 ...