Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por autor "Gómez-Rodríguez, Carlos"

Mostrando ítems 21-40 de 64

    • From Partial to Strictly Incremental Constituent Parsing 

      Ezquerro, Ana; Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics, 2024-03)
      [Absctract]: We study incremental constituent parsers to assess their capacity to output trees based on prefix representations alone. Guided by strictly left-to-right generative language models and tree-decoding modules, ...

    • Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2018-06)
      [Absctract]: The usage of part-of-day nouns, such as ‘night’, and their time-specific greetings (‘good night’), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics ...

    • Harry Potter and the Action Prediction Challenge from Natural Language 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-06)
      [Absctract]: We explore the challenge of action prediction from textual descriptions of scenes, a testbed to approximate whether text inference can be used to predict upcoming actions. As a case of study, we consider the ...

    • HEAD-QA: A Healthcare Dataset for Complex Reasoning 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-07)
      [Absctract]: We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and ...

    • 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 ...

    • Left-to-Right Dependency Parsing with Pointer Networks 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2019)
      [Abstract]: We propose a novel transition-based algorithm that straightforwardly parses sentences from left to right by building n attachments, with n being the length of the input sentence. Similarly to the recent ...

    • 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).

    • LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification 

      Vilares, David; Doval, Yerai; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2016)
      [Abstract]: In this paper we describe our deep learning approach for solving both two-, three- and fiveclass tweet polarity classification, and twoand five-class quantification. We first trained a convolutional neural ...

    • LyS at TASS 2013: Analysing Spanish tweets by means of dependency parsing, semantic-oriented lexicons and psychometric word-properties 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
      [Abstract]: This article describes the approach developed by our group in order to resolve the sentiment analysis at a global level, topic identification and political tendency classification tasks on Spanish tweets; ...

    • LyS at TASS 2014: A Prototype for Extracting and Analysing Aspects from Spanish tweets 

      Vilares, David; Doval, Yerai; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2014)
      [Abstract]: This paper describes our participation at the third edition of the work- shop on Sentiment Analysis focused on Spanish tweets, tass 2014. This year’s eval- uation campaign includes four challenges: (1) global ...

    • LyS at TASS 2015: Deep Learning Experiments for Sentiment Analysis on Spanish Tweets 

      Vilares, David; Doval, Yerai; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (CEUR-WS Workshop Proceedings, 2015)
      [Abstract]: This paper describes the participation of the LyS group at tass 2015. In this year’s edition, we used a long short-term memory neural network to address the two proposed challenges: (1) sentiment analysis at ...

    • 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. ...

    • LyS_ACoruña at SemEval-2022 Task 10: Repurposing Off-the-Shelf Tools for Sentiment Analysis as Semantic Dependency Parsing 

      Alonso-Alonso, Iago; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2022-07)
      [Absctract]: This paper addressed the problem of structured sentiment analysis using a bi-affine semantic dependency parser, large pre-trained language models, and publicly available translation models. For the monolingual ...

    • 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 Challenges of Fully Incremental Neural Dependency Parsing 

      Ezquerro, Ana; Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics, 2023-11)
      [Absctract]: Since the popularization of BiLSTMs and Transformer-based bidirectional encoders, state-of-the-art syntactic parsers have lacked incrementality, requiring access to the whole sentence and deviating from ...

    • 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 ...