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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; ...
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 ...
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: 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 ...
A Unifying Theory of Transition-based and Sequence Labeling Parsing
(International Committee on Computational Linguistics, 2020-12)
[Absctract]: We define a mapping from transition-based parsing algorithms that read sentences from left to right to sequence labeling encodings of syntactic trees. This not only establishes a theoretical relation between ...
Better, Faster, Stronger Sequence Tagging Constituent Parsers
(Association for Computational Linguistics, 2019-06)
[Absctract]: Sequence tagging models for constituent parsing are faster, but less accurate than other types of parsers. In this work, we address the following weaknesses of such constituent parsers: (a) high error rates ...
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 ...
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 ...