• LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English 

      Vilares, David; Hermo, Miguel; Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Doval, Yerai (Association for Computational Linguistics, 2014)
      [Abstract]: This paper proposes an approach to solve message- and phrase-level polarity classification in Twitter, derived from an existing system designed for Spanish. As a first step, an ad-hoc preprocessing is performed. ...
    • Memory limitations are hidden in grammar 

      Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon (RAM-Verlag, 2022)
      [Abstract] The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the essence of this generative capacity using formal grammars ...
    • 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 ...
    • Natural Language Parsing : Progress and Challenges 

      Gómez-Rodríguez, Carlos (Sociedad de Estadística e Investigación Operativa, 2018-07)
      [Abstract] Natural language parsing is the task of automatically obtaining the syntactic structure of sentences written in a human language. Parsing is a crucial step for language processing systems that need to extract ...
    • New Treebank or Repurposed? On the Feasibility of Cross-Lingual Parsing of Romance Languages with Universal Dependencies 

      García, Marcos; Gómez-Rodríguez, Carlos; Alonso, Miguel A. (Cambridge University Press, 2018-01)
      [Abstract] This paper addresses the feasibility of cross-lingual parsing with Universal Dependencies (UD) between Romance languages, analyzing its performance when compared to the use of manually annotated resources of the ...
    • 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 ...
    • On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Wiley, 2015-09)
      [Abstract]: Millions of micro texts are published every day on Twitter. Identifying the sentiment present in them can be helpful for measuring the frame of mind of the public, their satisfaction with respect to a product, ...
    • Optimality of syntactic dependency distances 

      Ferrer-i-Cancho, Ramon; Gómez-Rodríguez, Carlos; Esteban, Juan Luis; Alemany-Puig, Lluís (American Physical Society, 2022-01)
      [Abstract]: It is often stated that human languages, as other biological systems, are shaped by cost-cutting pressures but, to what extent? Attempts to quantify the degree of optimality of languages by means of an optimality ...
    • Parsing as Pretraining 

      Vilares, David; Strzyz, Michalina; Søgaard, Anders; Gómez-Rodríguez, Carlos (2020)
      [Abstract] Recent analyses suggest that encoders pretrained for language modeling capture certain morpho-syntactic structure. However, probing frameworks for word vectors still do not report results on standard setups ...
    • Prototype of an Entity Recognition System for Antimicrobial Resistance Data Management 

      Prado-Valiño, Francisco; Santos-Ríos, Roi; Gómez-Rodríguez, Carlos; Vilares, Jesús (Universidade da Coruña, Servizo de Publicacións, 2023)
      [Abstract] Often, a study or research process requires the analysis of large volumes of information in the form of unstructured text. This task consumes a large amount of time and resources of the human experts in charge ...
    • Restricted Non-Projectivity: Coverage vs. Efficiency 

      Gómez-Rodríguez, Carlos (2016-12)
      [Abstract] In the last decade, various restricted classes of non-projective dependency trees have been proposed with the goal of achieving a good tradeoff between parsing efficiency and coverage of the syntactic structures ...
    • 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 ...
    • Seguimiento y análisis automático de contenidos en redes sociales 

      Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Vilares, David; Doval, Yerai; Vilares, Jesús (Centro Universitario de la Defensa de Marín, 2015)
      [Abstract]: La Minería de Opiniones es la disciplina que aborda el tratamiento automático de las opiniones contenidas en un texto. Permite, por ejemplo, determinar si en un texto se está opinando o no, o si la polaridad ...
    • 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 ...
    • Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2015)
      [Abstract]: We address the problem of performing po- larity classification on Twitter over differ- ent languages, focusing on English and Spanish, comparing three techniques: (1) a monolingual model which knows ...
    • 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 ...
    • Shallow Recurrent Neural Network for Personality Recognition in Source Code 

      Doval, Yerai; Gómez-Rodríguez, Carlos; Vilares, Jesús (CEUR Workshop Proceedings, 2016-12)
      [Abstract] Personality recognition in source code constitutes a novel task in the field of author profiling on written text. In this paper we describe our proposal for the PR-SOCO shared task in FIRE 2016, which is based ...
    • Supervised polarity classification of Spanish tweets based on linguistic knowledge 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Association for Computing Machinery, 2013)
      [Abstract]: We describe a system that classifies the polarity of Spanish tweets. We adopt a hybrid approach, which combines machine learning and linguistic knowledge acquired by means of NLP. We use part-of-speech tags, ...
    • Supervised sentiment analysis in multilingual environments 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Elsevier, 2017-05)
      [Abstract]: This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing ...
    • The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance 

      Anderson, Mark; Gómez-Rodríguez, Carlos (The MIT Press, 2022)
      [Abstract] We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in ...