SEPLN Award
Every year, the Spanish Society for Natural Language Processing rewards the best thesis in Natural Language Processing.
The purpose of this award is the promotion and dissemination of research in the field of Natural Language Processing, announcing the winner in the SEPLN's annual congress.
Every year the bases of the award's announcement are published, being an indispensable requirement to be a member of the SEPLN to participate.
Sarcasm and Implicitness in Abusive Language Detection: A Multilingual Perspective
Author: Simona Frenda
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Attention-based approaches for Text Analytics in Social Media and Automatic Summarization
Author: José Ángel González Barba
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Negation Processing in Spanish and its Application to Sentiment Analysis
Author: Salud María Jiménez Zafra
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Machine Learning Methods for Understanding Social Media Communication: Modeling Irony and Emojis
Author: Francesco Barbieri
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Computational Models for Semantic Textual Similarity.
Author: Aitor Gonzalez-Agirre.
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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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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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Machine Translation based on Empirical Methods and its evaluation.
Author: Jesús Ángel Gímenez Linares.
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Information Synthesis: Development and evaluation of an interactive model.
Author: Enrique Amigó.
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Supervised Word Sense Disambiguation: Facing Current Challenges.
Author: David Martínez.
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Linguistic knowledge in automatic semantic disambiguation.
Author: Iulia Nica.
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