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DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach.

, , and . SemEval@NAACL-HLT, page 198-201. The Association for Computer Linguistics, (2016)

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Combining multiple translation systems for Spoken Language Understanding portability., , , , and . SLT, page 194-198. IEEE, (2012)Cross-Domain Polarity Models to Evaluate User eXperience in E-learning., , , , and . Neural Process. Lett., 53 (5): 3199-3215 (2021)On the Voice-Activated Question Answering., , , and . IEEE Trans. Syst. Man Cybern. Part C, 42 (1): 75-85 (2012)Error handling in a stochastic dialog system through confidence measures., , , , and . Speech Commun., 45 (3): 211-229 (2005)A Dialog Management Methodology Based on Neural Networks and Its Application to Different Domains., , , and . CIARP, volume 5197 of Lecture Notes in Computer Science, page 643-650. Springer, (2008)Language Modelization and Categorization for Voice-Activated QA., , , and . CIARP, volume 7042 of Lecture Notes in Computer Science, page 475-482. Springer, (2011)Dos aproximaciones basadas en reglas para la gestión del diálogo., , , and . Proces. del Leng. Natural, (2005)AMIC: Affective multimedia analytics with inclusive and natural communication., , , , , , , and . Proces. del Leng. Natural, (2018)Un algoritmo para la comprensión automática del habla sobre grafos de palabras., , , and . Proces. del Leng. Natural, (2012)Traducción Automática usando conocimiento semántico en un dominio restringido., , , , and . Proces. del Leng. Natural, (2016)