Buscar
Mostrando ítems 31-40 de 44
Prototipado rápido de un sistema de normalización de tuitsuna aproximación léxica
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
[Resumen]: Este trabajo describe el sistema de normalización de tuits en español desarrollado por el Grupo de Lengua Y Sociedad de la Información (LYS) de la Universidade da Coruña para el Tweet-Norm 2013. Se trata de un ...
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 ...
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, ...
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 ...
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: 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. ...
On the Challenges of Fully Incremental Neural Dependency Parsing
(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 ...
Assessment of Pre-Trained Models Across Languages and Grammars
(Association for Computational Linguistics, 2023-11)
[Absctract]: We present an approach for assessing how
multilingual large language models (LLMs)
learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent
and dependency structures by ...
Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
(Association for Computational Linguistics, 2023-07)
[Absctract]: The usefulness of part-of-speech tags for parsing has been heavily questioned due to the success of word-contextualized parsers. Yet, most studies are limited to coarse-grained tags and high quality written ...
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, ...