Premio SEPLN a la mejor Tesis Doctoral
Desde Sociedad Española para el Procesamiento del Lenguaje Natural se convoca con caracter anual el Premio SEPLN a la Mejor Tesis Doctoral en Procesamiento del Lenguaje Natural.
La finalidad de este premio es la promoción y divulgación de la investigación en el campo del procesamiento del lenguaje natural, anunciándose el ganador durante la edición del Congreso anual de la SEPLN.
Cada año se publican las bases de la convocatoria del premio, siendo requisito indispensable ser socio de la SEPLN para participar en el mismo.
Computational Approaches to Mental Health Disorders Detection from Social Media Texts, Images and Videos
Author: Ana-Maria Bucur
Date:
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Bucur - PhD Thesis.pdf
Depression Severity Estimation on the Internet: New Models and Resources
Author: Anxo Pérez Vila
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PDF
Detecting Offensive Language by Integrating Multiple Linguistic Phenomena
Author: Flor Miriam Plaza-del-Arco
Date:
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Thesis_deposito FLOR MIRIAM_0.pdf
Sarcasm and Implicitness in Abusive Language Detection: A Multilingual Perspective
Author: Simona Frenda
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PDF
Attention-based approaches for Text Analytics in Social Media and Automatic Summarization
Author: José Ángel González Barba
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PDF
Negation Processing in Spanish and its Application to Sentiment Analysis
Author: Salud María Jiménez Zafra
Date:
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PDF
Machine Learning Methods for Understanding Social Media Communication: Modeling Irony and Emojis
Author: Francesco Barbieri
Date:
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PDF
Computational Models for Semantic Textual Similarity.
Author: Aitor Gonzalez-Agirre.
Date:
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pdf
Author Profiling in Social Media: Identification of the Age, Gender and Language Variety.
Author: Francisco Manuel Rangel Pardo.
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Detection of Dishonest Behaviours in On-Line Networks Using Graph-based Ranking Techniques.
Author: F. Javier Ortega Rodriguez.
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Feature-based Opinion Extraction: A Domain Adaptable Practical Approach.
Author: Fermín L. Cruz Mata.
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pdf
Application of Information Extraction techniques to pharmalogical domain: Extracting drug-drug interactions.
Author: Isabel Segura Bedmar.
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BRUJA: A Multilingual Question Answering System.
Author: Miguel Ángel García Cumbreras.
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pdf
Machine Translation based on Empirical Methods and its evaluation.
Author: Jesús Ángel Gímenez Linares.
Date:
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