Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por título
Mostrando ítems 80-99 de 116
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Restricted Non-Projectivity: Coverage vs. Efficiency
(2016-12)[Abstract] In the last decade, various restricted classes of non-projective dependency trees have been proposed with the goal of achieving a good tradeoff between parsing efficiency and coverage of the syntactic structures ... -
Searching Four-Millennia-Old Documents: A Text Retrieval System for Egyptologists
(2016-08)[Abstract] Progress made in recent years has led to a growing interest in Digital Heritage. This article focuses on Egyptology and, more specifically, the study and preservation of ancient Egyptian scripts. We present a ... -
Segmentación de palabras en español mediante modelos del lenguaje basados en redes neuronales
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2016-09)[Resumen] En las plataformas de microblogging abundan ciertos tokens especiales como los hashtags o las menciones en los que un grupo de palabras se escriben juntas sin espaciado entre ellas; p.ej.: #añobisiesto o ... -
Seguimiento y análisis automático de contenidos en redes sociales
(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 ... -
Selección de colocaciones académicas en español a través de un filtro de interdisciplinariedad
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2022-09)[Resumen] Selección de colocaciones académicas en español a través de un filtro de interdisciplinariedad Selecting Spanish academic collocations using a filter of interdisciplinarity Eleonora Guzzi, Margarita Alonso ... -
Semantic Relation Extraction. Resources, Tools and Strategies
(Springer, 2016-07)[Abstract] Relation extraction is a subtask of information extraction that aims at obtaining instances of semantic relations present in texts. This information can be arranged in machine-readable formats, useful for several ... -
Sentiment Analysis for Fake News Detection
(MDPI, 2021)[Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ... -
Sentiment analysis for reviews and microtexts based on lexico-syntactic knowledge
(BCS-IRSG, 2013)[Abstract]: We describe two methods to perform sentiment analysis both on long and short texts written in Spanish language. We first present an unsupervised method based on dependency parsing which calculates the semantic ... -
Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
(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 Labeling Parsing by Learning across Representations
(Association for Computational Linguistics, 2019-07)[Absctract]: We use parsing as sequence labeling as a common framework to learn across constituency and dependency syntactic abstractions. To do so, we cast the problem as multitask learning (MTL). First, we show that ... -
Sequence Tagging for Fast Dependency Parsing
(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
(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 ... -
Sofisticación y diversidad como medidas de complejidad léxica para determinar el perfil colocacional de textos académicos en español
(Pontificia Universidad Católica de Valparaíso, 2023-08-28)[Resumen] En este estudio proponemos utilizar en el ámbito de las colocaciones los parámetros de sofisticación y diversidad, normalmente restringidos a unidades léxicas monoverbales. Para ello, presentamos una metodología ... -
Spanish Resource Grammar Version 2023
(European Language Resources Association (ELRA) & ICCL, 2024)[Abstract]: We present the latest version of the Spanish Resource Grammar (SRG), a grammar of Spanish implemented in the HPSG formalism. Such grammars encode a complex set of hypotheses about syntax making them a resource ... -
Studying the Effect and Treatment of Misspelled Queries in Cross-Language Information Retrieval
(2016-07)[Abstract] The performance of Information Retrieval systems is limited by the linguistic variation present in natural language texts. Word-level Natural Language Processing techniques have been shown to be useful in reducing ... -
Supervised polarity classification of Spanish tweets based on linguistic knowledge
(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, ... -
Supervised sentiment analysis in multilingual environments
(Elsevier, 2017-05)[Abstract]: This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing ... -
Surfing the Modeling of pos Taggers in Low-Resource Scenarios
(MDPI, 2022-09-27)[Abstract] The recent trend toward the application of deep structured techniques has revealed the limits of huge models in natural language processing. This has reawakened the interest in traditional machine learning ... -
Syntactically enriched multilingual sentiment analysis
(CEUR-WS, 2020)[Abstract]: Sentiment analysis of natural language texts needs to deal with linguistic phenomena like negation, intensification or adversative clauses. In this talk, I present an approach to tackle such phenomena by means ... -
The Fragility of Multi-Treebank Parsing Evaluation
(International Committee on Computational Linguistics, 2022-10)[Absctract]: Treebank selection for parsing evaluation and the spurious effects that might arise from a biased choice have not been explored in detail. This paper studies how evaluating on a single subset of treebanks can ...