Listar Lingua e Sociedade da Información (Language in the Information Society) (LYS) por título
Mostrando ítems 48-67 de 116
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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; ... -
LyS at TASS 2014: A Prototype for Extracting and Analysing Aspects from Spanish tweets
(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
(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
(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
(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 ... -
Memory limitations are hidden in grammar
(RAM-Verlag, 2022)[Abstract] The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the essence of this generative capacity using formal grammars ... -
Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language
(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 ... -
Multitask Pointer Network for Multi-Representational Parsing
(Elsevier, 2022-01-25)[Abstract] Dependency and constituent trees are widely used by many artificial intelligence applications for representing the syntactic structure of human languages. Typically, these structures are separately produced by ... -
Natural Language Parsing : Progress and Challenges
(Sociedad de Estadística e Investigación Operativa, 2018-07)[Abstract] Natural language parsing is the task of automatically obtaining the syntactic structure of sentences written in a human language. Parsing is a crucial step for language processing systems that need to extract ... -
New Treebank or Repurposed? On the Feasibility of Cross-Lingual Parsing of Romance Languages with Universal Dependencies
(Cambridge University Press, 2018-01)[Abstract] This paper addresses the feasibility of cross-lingual parsing with Universal Dependencies (UD) between Romance languages, analyzing its performance when compared to the use of manually annotated resources of the ... -
Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing
(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 ...