Listar por autor "Vilares, David"
Mostrando ítems 1-20 de 38
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A linguistic approach for determining the topics of Spanish Twitter messages
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (SAGE Publications & CILIP, 2015)[Abstract]: The vast number of opinions and reviews provided in Twitter is helpful in order to make interesting findings about a given industry, but given the huge number of messages published every day, it is important ... -
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) ... -
A review on political analysis and social media
Vilares, David; Alonso, Miguel A. (Sociedad Española para el Procesamiento del Lenguaje Natural, 2016)[Abstract] In democratic countries, forecasting the voting intentions of citizens and knowing their opinions on major political parties and leaders is of great interest to the parties themselves, to the media, and to the ... -
A syntactic approach for opinion mining on Spanish reviews
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Cambridge University Press, 2015-01)[Abstract]: We describe an opinion mining system which classifies the polarity of Spanish texts. We propose an NLP approach that undertakes pre-processing, tokenisation and POS tagging of texts to then obtain the syntactic ... -
Una aproximación supervisada para la minería de opiniones sobre tuits en español en base a conocimiento lingüístico
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)[Resumen]: En este artículo se describe un sistema para la clasificación de la polaridad de tuits escritos en español. Se adopta una aproximación híbrida, que combina conocimiento lingüístico obtenido mediante PLN con ... -
Clasificación de polaridad en textos con opiniones en español mediante análisis sintáctico de dependencias
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)[Resumen]: En este artículo se describe un sistema de minería de opiniones que clasifica la polaridad de textos en español. Se propone una aproximación basada en PLN que conlleva realizar una segmentación, tokenización y ... -
Compositional language processing for multilingual sentiment analysis
Vilares, David (2017)[Abstract] This dissertation presents new approaches in the field of sentiment analysis and polarity classification, oriented towards obtaining the sentiment of a phrase, sentence or document from a natural language processing ... -
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, ... -
Detecting Perspectives in Political Debates
Vilares, David; He, Yulan (Association for Computational Linguistics, 2017-09)[Abstract]: We explore how to detect people’s perspectives that occupy a certain proposition. We propose a Bayesian modelling approach where topics (or propositions) and their associated perspectives (or viewpoints) are ... -
Discovering Topics in Twitter About the COVID-19 Outbreak in Spain
Agüero-Torales, Marvin M.; Vilares, David; López-Herrera, Antonio G. (Sociedad Española de Procesamiento del Lenguaje Natural, 2021)[Resumen] En este trabajo, analizamos lo que los usuarios han estado discutiendo en Twitter durante el comienzo de la pandemia causada por el COVID-19. Concretamente, analizamos tres fases diferenciadas de la crisis del ... -
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 ... -
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 ... -
Identificación Automática del Idioma en Twitter: Adaptación de Identificadores del Estado del Arte al Contexto Ibérico
Doval, Yerai; Vilares, David; Vilares, Jesús (CEUR-WS.org, 2014)[Abstract]: We describe here our partipation in TweetLID. After having studied the problem of language identification, the resources available, and designed a text conflation approach for this kind of tasks, we joined ... -
Increasing NLP Parsing Efficiency with Chunking
Anderson, Mark Dáibhidh; Vilares, David (M D P I AG, 2018-09-19)[Abstract] We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary ... -
Lyapunov filtering of objectivity for Spanish sentiment model
Chaturvedi, Iti; Cambria, Erik; Vilares, David (IEEE, 2016-07)[Abstract] Objective sentences lack sentiments and, hence, can reduce the accuracy of a sentiment classifier. Traditional methods prior to 2001 used hand-crafted templates to identify subjectivity and did not generalize ... -
LyS A Coruña at GUA-SPA@IberLEF2023. Multi-Task Learning with Large Language Model Encoders for Guarani-Spanish Code Switching Analysis
Muñoz Ortiz, Alberto; Vilares, David (2023)[Abstract] This paper introduces the LyS A Coruña proposal for the Guarani-Spanish Code Switching Analysis task at IberLEF2023. The shared task proposes to analyze Guarani-Spanish code-switched texts, focusing on language ... -
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 ...