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Título
Autor
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
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