Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por autor "Vilares, David"
Mostrando ítems 21-40 de 58
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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 ... -
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 ... -
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 ... -
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 ... -
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing
Muñoz-Ortiz, Alberto; Strzyz, Michalina; Vilares, David (INCOMA Ltd., 2021-09)[Absctract]: Different linearizations have been proposed to cast dependency parsing as sequence labeling and solve the task as: (i) a head selection problem, (ii) finding a representation of the token arcs as bracket ... -
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 Logistical Difficulties and Findings of Jopara Sentiment Analysis
Agüero-Torales, Marvin M.; Vilares, David; López-Herrera, Antonio G. (Association for Computational Linguistics, 2021-06)[Abstract] This paper addresses the problem of sentiment analysis for Jopara, a code-switching language between Guarani and Spanish. We first collect a corpus of Guarani-dominant tweets and discuss on the difficulties of ... -
On the Processing and Analysis of Microtexts: From Normalization to Semantics
Doval, Yerai; Vilares, David (M D P I AG, 2018-09-18)[Abstract] User-generated content published on microblogging social platforms constitutes an invaluable source of information for diverse purposes: health surveillance, business intelligence, political analysis, etc. We ...