Publicaciones

2020

Leveraging PubMed to Create a Specialty-Based Sense Inventory for Spanish Acronym Resolution.

Autores
Pilar López Úbeda

Named entity recognition in Spanish applied to the biomedical domain,Reconocimiento de Entidades Nombradas en espanol aplicado al dominio biomédico

Autores
Pilar López Úbeda

Negation detection for sentiment analysis: A case study in Spanish

Autores
Salud María Jiménez Zafra, María Teresa Martín Valdivia

Overview of TASS 2020: Introducing Emotion Detection

Autores
Salud María Jiménez Zafra

Predicting literature’s early impact with sentiment analysis in Twitter

Recognition of biomedical entities in spanish by combining word embeddings,Reconocimiento de entidades biomédicas para el Español mediante la combinación de word embeddings

Autores
Pilar López Úbeda

Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews

SINAI at CLEF eHealth 2020: testing different pre-trained word embeddings for clinical coding in Spanish

Autores
Pilar López Úbeda

Sinai at ehealth-kd challenge 2020: Combining word embeddings for named entity recognition in Spanish medical records

Autores
María Teresa Martín Valdivia, Pilar López Úbeda

Transfer learning applied to text classification in Spanish radiological reports

Autores
Pilar López Úbeda

Tweet Coupling: a social media methodology for clustering scientific publications

2019

Análisis comparativo de las características computacionales en los sistemas modernos de análisis de sentimiento para el español

Anonymization of clinical reports in Spanish: A hybrid method based on machine learning and rules

Autores
Pilar López Úbeda

Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and Rules.

Autores
Pilar López Úbeda

Bots and gender profiling on twitter using sociolinguistic features notebook for PAN at CLEF 2019

Autores
Flor Miriam Plaza del Arco

Celebrity profiling on twitter using sociolinguistic features notebook for PAN at CLEF 2019

Autores
Flor Miriam Plaza del Arco

Comparative analysis of the computational characteristics in modern sentiment analysis systems for Spanish

Decision making model based on expert evaluations extracted with sentiment analysis

Deep learning hyper-parameter tuning for sentiment analysis in twitter based on evolutionary algorithms

Deep recurrent neural network for geographical entities disambiguation on social media data

Detecting anorexia in Spanish tweets

Autores
Flor Miriam Plaza del Arco, María Teresa Martín Valdivia, Pilar López Úbeda

Ensemble learning to detect aggressiveness in Mexican Spanish tweets

Autores
M. Dolores Molina González, Flor Miriam Plaza del Arco, María Teresa Martín Valdivia

Improved emotion recognition in Spanish social media through incorporation of lexical knowledge

Autores
Flor Miriam Plaza del Arco, María Teresa Martín Valdivia

Integrating UMLs for early detection of sings of anorexia

Autores
Flor Miriam Plaza del Arco, Pilar López Úbeda

Negation processing in spanish and its application to sentiment analysis

Autores
Salud María Jiménez Zafra

NEGES 2018: Workshop on Negation in Spanish

Autores
Salud María Jiménez Zafra, María Teresa Martín Valdivia

NEGES 2019 Task: Negation in Spanish

Autores
Salud María Jiménez Zafra, María Teresa Martín Valdivia

Oportunity: Plataforma web para la gestión de oportunidades

Autores
Salud María Jiménez Zafra

SINAI-DL at SemEval-2019 Task 5: Recurrent networks and data augmentation by paraphrasing

Autores
Salud María Jiménez Zafra

SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions

Autores
Salud María Jiménez Zafra

Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology

Autores
María Teresa Martín Valdivia

Studying the Scope of Negation for Spanish Sentiment Analysis on Twitter

Autores
Salud María Jiménez Zafra, María Teresa Martín Valdivia

TASS 2018: The strength of deep learning in language understanding tasks

TREC 2019 Precision Medicine-Medical University of Graz.

Autores
Pilar López Úbeda

Using machine learning and deep learning methods to find mentions of adverse drug reactions in social media

Autores
María Teresa Martín Valdivia

Using Snomed to recognize and index chemical and drug mentions.

Autores
Pilar López Úbeda