Listar GI-LYS - Artigos por título

Mostrando ítems 16-35 de 43

    • 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 ...

    • How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis 

      Gómez-Rodríguez, Carlos; Alonso-Alonso, Iago; Vilares, David (Springer, 2019)
      [Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...

    • 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 ...

    • Liberating language research from dogmas of the 20th century 

      Ferrer-i-Cancho, Ramon; Gómez-Rodríguez, Carlos (2016)
      [Abstract] A commentary on the article “Large -scale evidence of dependency length minimization in 37 languages” by Futrell, Mahowald & Gibson (PNAS 2015 112 (33) 10336-10341).

    • 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 ...

    • Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language 

      Agüero-Torales, Marvin M.; López-Herrera, Antonio G.; Vilares, David (Springer, 2023)
      [Abstract]: This paper focuses on text-based affective computing for Jopara, a code-switching language that combines Guarani and Spanish. First, we collected a dataset of tweets primarily written in Guarani and annotated ...

    • 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 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 ...

    • 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 ...

    • Public Sentiment Analysis and Topic Modeling Regarding COVID-19’s Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia 

      Alamoodi, A.H.; Baker, Mohammed Rashad; Albahri, O.S.; Zaidan, B.B.; Zaidan, A.A.; Wong, Wing-Kwong; Garfan, Salem; Albahri, A.S.; Alonso, Miguel A.; Jasim, Ali Najm; Baqer, M.J. (KSII, 2022-07-31)
      [Abstract] The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this ...

    • 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 ...

    • 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 ...

    • 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 ...