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1
Cross-Domain Polarity Models to Evaluate User eXperience in E-learning
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2
Resum abstractiu de noticies basat en xarxes neuronals ; Resumen abstractivo de noticias basado en redes neuronales
Marco García, Pere. - : Universitat Politècnica de València, 2021
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3
Aprendizaje automático para la detección de humor en Twitter
Andújar Carracedo, Ángel. - : Universitat Politècnica de València, 2020
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4
Extractive summarization using siamese hierarchical transformer encoders
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5
Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter
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6
Summarization of Spanish Talk Shows with Siamese Hierarchical Attention Networks
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7
Siamese hierarchical attention networks for extractive summarization
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8
Choosing the right loss function for multi-label Emotion Classification
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9
Creación de un corpus de artículos de prensa y generación automática de resúmenes
Alcina Sanchis, Fernando. - : Universitat Politècnica de València, 2019
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10
Spanish sentiment analysis in Twitter at the TASS workshop
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11
Análisis de sentimientos a nivel de aspecto usando ontologías y aprendizaje automático ; Aspect-based sentiment analysis using ontologies and machine learning
Henriquez Miranda, Carlos; Pla Santamaría, Ferrán; Hurtado Oliver, Lluís Felip. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2017
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12
Aprendizaje profundo para el procesamiento del lenguaje natural
González Barba, José Ángel. - : Universitat Politècnica de València, 2017
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13
Traducción Automática usando conocimiento semántico en un dominio restringido ; Automatic translation using semantic knowledge in a restricted domain
Hurtado Oliver, Lluís Felip; Costa, Iván; Segarra Soriano, Encarnación. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2016
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Traducción Automática usando conocimiento semántico en un dominio restringido ; Automatic translation using semantic knowledge in a restricted domain
Hurtado Oliver, Lluis Felip; Costa Lacuesta, Iván; Segarra Soriano, Encarnación. - : Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2016
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15
A Train-on-Target Strategy for Multilingual Spoken Language Understanding
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16
Language identification of multilingual posts from Twitter: a case study
Hurtado Oliver, Lluis Felip; Pla Santamaría, Ferran. - : Springer Verlag (Germany), 2016
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17
Multilingual Spoken Language Understanding using graphs and multiple translations
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18
Prototipo de sistema de comprensión de habla multilingüe
Laguna Bello, Sergio. - : Universitat Politècnica de València, 2015
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19
Combining Several ASR Outputs in a Graph-Based SLU System
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20
Sentiment Analysis in Twitter for Spanish
Pla Santamaría, Ferran; Hurtado Oliver, Lluis Felip. - : Springer Lecture Notes in Computer Science Volume 8455 2014, 2014
Abstract: The final publication is available at Springer via http://dx.doi.org/ 10.1007/978-3-319-07983-7_27 ; This paper describes a SVM-approach for Sentiment Analysis (SA) in Twitter for Spanish. This task was part of the TASS2013 workshop, which is a framework for SA that is focused on the Spanish language. We describe the approach used, and we present an experimental comparison of the approaches presented by the di erent teams that took part in the competition. We also describe the improvements that were added to our system after our participation in the competition. With these improvements, we obtained an accuracy of 62.88% and 70.25% on the SA test set for 5-level and 3-level tasks respectively. To our knowledge, these results are the best results published until now for the SA tasks of the TASS2013 workshop. ; This work has been funded by the projects, DIANA (MEC TIN2012-38603-C02-01) and Tímpano (MEC TIN2011-28169-C05-01). ; Pla Santamaría, F.; Hurtado Oliver, LF. (2014). Sentiment Analysis in Twitter for Spanish. En Natural Language Processing and Information Systems. Springer Lecture Notes in Computer Science Volume 8455 2014. 208-213. https://doi.org/10.1007/978-3-319-07983-7_27 ; S ; 208 ; 213 ; Barbosa, L., Feng, J.: Robust sentiment detection on Twitter from biased and noisy data. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, Association for Computational Linguistics, pp. 36–44 (2010) ; Jansen, B.J., Zhang, M., Sobel, K., Chowdury, A.: Twitter power: Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology 60(11), 2169–2188 (2009) ; Liu, B., Hu, M., Cheng, J.: Opinion observer: Analyzing and comparing opinions on the web. In: Proceedings of the 14th International Conference on World Wide Web, WWW 2005, pp. 342–351. ACM, New York (2005) ; Martínez-Cámara, E., Martín-Valdivia, M.T., Ureña-López, L.A., Montejo-Raéz, A.: Sentiment analysis in twitter. Natural Language Engineering 1(1), 1–28 (2012) ; O’Connor, B., Krieger, M., Ahn, D.: Tweetmotif: Exploratory search and topic summarization for twitter. In: Cohen, W.W., Gosling, S. (eds.) Proceedings of the Fourth International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, May 23-26, The AAAI Press (2010) ; Padró, L., Stanilovsky, E.: Freeling 3.0: Towards wider multilinguality. In: Proceedings of the Language Resources and Evaluation Conference (LREC 2012). ELRA, Istanbul (2012) ; Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? sentiment classification using machine learning techniques. In: Proceedings of EMNLP, pp. 79–86 (2002) ; Perez-Rosas, V., Banea, C., Mihalcea, R.: Learning sentiment lexicons in spanish. In: Chair, N.C.C., Choukri, K., Declerck, T., Doǧan, M.U., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (eds.) Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012). European Language Resources Association (ELRA), Istanbul (2012) ; Pla, F., Hurtado, L.F.: Análisis de sentimientos en twitter. In: Proceedings of the TASS workshop at SEPLN 2013, IV Congreso Español de Informática (2013) ; Saralegi, X., San Vicente, I.: Elhuyar at tass 2013. In: Proceedings of the TASS workshop at SEPLN 2013, IV Congreso Español de Informática (2013) ; Schölkopf, B., Smola, A.J., Williamson, R.C., Bartlett, P.L.: New support vector algorithms. Neural Comput. 12(5), 1207–1245 (2000) ; Turney, P.D.: Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In: ACL, pp. 417–424 (2002) ; Villena-Román, J., García-Morera, J.: Workshop on sentiment analysis at sepln 2013: An over view. In: Proceedings of the TASS Workshop at SEPLN 2013, IV Congreso Español de Informática (2013) ; Vinodhini, G., Chandrasekaran, R.: Sentiment analysis and opinion mining: A survey. International Journal 2(6) (2012) ; Wilson, T., Hoffmann, P., Somasundaran, S., Kessler, J., Wiebe, J., Choi, Y., Cardie, C., Riloff, E., Patwardhan, S.: Opinionfinder: A system for subjectivity analysis. In: Proceedings of HLT/EMNLP on Interactive Demonstrations, Association for Computational Linguistics, pp. 34–35 (2005) ; Wilson, T., Kozareva, Z., Nakov, P., Rosenthal, S., Stoyanov, V., Ritter, A.: Semeval-2013 task 2: Sentiment analysis in twitter. In: Proceedings of the International Workshop on Semantic Evaluation, SemEval, vol. 13 (2013)
Keyword: LENGUAJES Y SISTEMAS INFORMATICOS; Machine learning; Sentiment analysis; Twiter
URL: https://doi.org/10.1007/978-3-319-07983-7_27
http://hdl.handle.net/10251/68280
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