Listar GI-LYS - Congresos, conferencias, etc. por autor "Gómez-Rodríguez, Carlos"

Mostrando ítems 1-20 de 20

    • A non-projective greedy dependency parser with bidirectional LSTMs 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2017-08)
      [Abstract]: The LyS-FASTPARSE team present BIST-COVINGTON, a neural implementation of the Covington (2001) algorithm for non-projective dependency parsing. The bidirectional LSTM approach by Kiperwasser and Goldberg (2016) ...

    • Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution 

      Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon (Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020-04-17)
      [Abstract] We study the validity of the cognitive independence assumption using an ensemble of artificial syntactic structures from various classes of dependency grammars. Our findings show that memory limitations have ...

    • Constituent Parsing as Sequence Labeling 

      Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics (ACL), 2018)
      [Absctract]: We introduce a method to reduce constituent parsing to sequence labeling. For each word wt, it generates a label that encodes: (1) the number of ancestors in the tree that the words wt and wt+1 have in common, ...

    • EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (European Language Resources Association (ELRA), 2016-05)
      [Abstract]: Code-switching texts are those that contain terms in two or more different languages, and they appear increasingly often in social media. The aim of this paper is to provide a resource to the research community ...

    • 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 ...

    • 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. ...

    • 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 ...

    • 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 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, ...

    • Towards fast natural language parsing: FASTPARSE ERC Starting Grant 

      Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2017-09)
      [Abstract:] The goal of the FASTPARSE project (Fast Natural Language Parsing for Large-Scale NLP), funded by the European Research Council (ERC), is to achieve a breakthrough in the speed of natural language syntactic ...

    • Transition-based Semantic Dependency Parsing with Pointer Networks 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2020-07)
      [Abstract]: Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperforming graph-based models in ...

    • Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (2017-09-19)
      [Abstract] Dealing with negation in a proper way is a relevant factor in order to obtain high performance sentiment analysis systems. In this framework, we present a method for the treatment of negation in Spanish that ...

    • Viable Dependency Parsing as Sequence Labeling 

      Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2019-06)
      [Abstract]: We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, ...