Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por título
Mostrando ítems 30-49 de 100
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Discovering Topics in Twitter About the COVID-19 Outbreak in Spain
(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
(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 ... -
Entity linking with distributional semantics
(Springer, 2016-07)[Abstract] Entity Linking (EL) consists in linking name mentions in a given text with their referring entities in external knowledge bases such as DBpedia/Wikipedia. In this paper, we propose an EL approach whose main ... -
Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy
(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 ... -
From Partial to Strictly Incremental Constituent Parsing
(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, ... -
Global Transition-based Non-projective Dependency Parsing
(Association for Computational Linguistics (ACL), 2018)[Absctract]: Shi, Huang, and Lee (2017a) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based dependency parsers with a minimal ... -
Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter
(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
(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
(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
(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
(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 ... -
Incorporating lexico-semantic heuristics into coreference resolution sieves for named entity recognition at document-level
(European Language Resources Association (ELRA), 2016-05)[Abstract] This paper explores the incorporation of lexico-semantic heuristics into a deterministic Coreference Resolution (CR) system for classifying named entities at document-level. The highest precise sieves of a CR ... -
Increasing NLP Parsing Efficiency with Chunking
(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 ... -
Intelligent retrieval for biodiversity
(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
(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
(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). -
Lyapunov filtering of objectivity for Spanish sentiment model
(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
(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
(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
(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; ...
