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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 27 1 Cross-Domain Polarity Models to Evaluate User eXperience in E-learning Castro-Bleda, Maria Jose; Hurtado Oliver, Lluis Felip; Sanchis-Font, Rosario. - : Springer-Verlag, 2021 BASE Show details 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 BASE Show details 3 Aprendizaje automático para la detección de humor en Twitter Andújar Carracedo, Ángel. - : Universitat Politècnica de València, 2020 BASE Show details 4 Extractive summarization using siamese hierarchical transformer encoders García-Granada, Fernando; Sanchís Arnal, Emilio; Hurtado Oliver, Lluis Felip. - : IOS Press, 2020 BASE Show details 5 Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter Hurtado Oliver, Lluis Felip; González-Barba, José Ángel; Pla Santamaría, Ferran. - : Elsevier, 2020 BASE Show details 6 Summarization of Spanish Talk Shows with Siamese Hierarchical Attention Networks Segarra Soriano, Encarnación; González-Barba, José Ángel; García-Granada, Fernando. - : MDPI AG, 2019 BASE Show details 7 Siamese hierarchical attention networks for extractive summarization Segarra Soriano, Encarnación; González-Barba, José Ángel; García-Granada, Fernando; Sanchís Arnal, Emilio; Hurtado Oliver, Lluis Felip. - : IOS Press, 2019 Abstract: [EN] In this paper, we present an extractive approach to document summarization based on Siamese Neural Networks. Specifically, we propose the use of Hierarchical Attention Networks to select the most relevant sentences of a text to make its summary. We train Siamese Neural Networks using document-summary pairs to determine whether the summary is appropriated for the document or not. By means of a sentence-level attention mechanism the most relevant sentences in the document can be identified. Hence, once the network is trained, it can be used to generate extractive summaries. The experimentation carried out using the CNN/DailyMail summarization corpus shows the adequacy of the proposal. In summary, we propose a novel end-to-end neural network to address extractive summarization as a binary classification problem which obtains promising results in-line with the state-of-the-art on the CNN/DailyMail corpus. ; This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R). Work of Jose-Angel Gonzalez is also financed by Universitat Politecnica de Valencia under grant PAID-01-17. ; González-Barba, JÁ.; Segarra Soriano, E.; García-Granada, F.; Sanchís Arnal, E.; Hurtado Oliver, LF. (2019). Siamese hierarchical attention networks for extractive summarization. Journal of Intelligent & Fuzzy Systems. 36(5):4599-4607. https://doi.org/10.3233/JIFS-179011 ; S ; 4599 ; 4607 ; 36 ; 5 ; N. Begum , M. Fattah , and F. Ren . Automatic text summarization using support vector machine 5(7) (2009), 1987–1996. ; J. Cheng and M. Lapata . Neural summarization by extracting sentences and words. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016. ; K.M. Hermann , T. Kocisky , E. Grefenstette , L. Espeholt , W. Kay , M. Suleyman , and P. Blunsom . Teaching machines to read and comprehend, CoRR, abs/1506.03340, 2015. ; D.P. Kingma and J. Ba . Adam: A method for stochastic optimization. CoRR, abs/1412.6980, 2014. ; Lloret, E., & Palomar, M. (2011). Text summarisation in progress: a literature review. Artificial Intelligence Review, 37(1), 1-41. doi:10.1007/s10462-011-9216-z ; Louis, A., & Nenkova, A. (2013). Automatically Assessing Machine Summary Content Without a Gold Standard. Computational Linguistics, 39(2), 267-300. doi:10.1162/coli_a_00123 ; Miao, Y., & Blunsom, P. (2016). Language as a Latent Variable: Discrete Generative Models for Sentence Compression. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. doi:10.18653/v1/d16-1031 ; R. Mihalcea and P. Tarau . Textrank: Bringing order into text. In Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, 2004. ; T. Mikolov , K. Chen , G. S. Corrado , and J. Dean . Efficient estimation of word representations in vector space, CoRR, abs/1301.3781, 2013. ; Minaee, S., & Liu, Z. (2017). Automatic question-answering using a deep similarity neural network. 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP). doi:10.1109/globalsip.2017.8309095 ; R. Paulus , C. Xiong , and R. Socher , A deep reinforced model for abstractive summarization. CoRR, abs/1705.04304, 2017. ; Schuster, M., & Paliwal, K. K. (1997). Bidirectional recurrent neural networks. IEEE Transactions on Signal Processing, 45(11), 2673-2681. doi:10.1109/78.650093 ; See, A., Liu, P. J., & Manning, C. D. (2017). Get To The Point: Summarization with Pointer-Generator Networks. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). doi:10.18653/v1/p17-1099 ; Takase, S., Suzuki, J., Okazaki, N., Hirao, T., & Nagata, M. (2016). Neural Headline Generation on Abstract Meaning Representation. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. doi:10.18653/v1/d16-1112 ; G. Tur and R. De Mori . Spoken language understanding: Systems for extracting semantic information from speech, John Wiley & Sons, 2011. Keyword: Automatic text summarization; Hierarchical attention networks; LENGUAJES Y SISTEMAS INFORMATICOS; Siamese neural networks URL: https://doi.org/10.3233/JIFS-179011 http://hdl.handle.net/10251/139459 BASE Hide details 8 Choosing the right loss function for multi-label Emotion Classification Pla Santamaría, Ferran; González-Barba, José Ángel; Hurtado Oliver, Lluis Felip. - : IOS Press, 2019 BASE Show details 9 Creación de un corpus de artículos de prensa y generación automática de resúmenes Alcina Sanchis, Fernando. - : Universitat Politècnica de València, 2019 BASE Show details 10 Spanish sentiment analysis in Twitter at the TASS workshop Hurtado Oliver, Lluis Felip; Pla Santamaría, Ferran. - : Springer-Verlag, 2018 BASE Show details 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 BASE Show details 12 Aprendizaje profundo para el procesamiento del lenguaje natural González Barba, José Ángel. - : Universitat Politècnica de València, 2017 BASE Show details 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 BASE Show details 14 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 BASE Show details 15 A Train-on-Target Strategy for Multilingual Spoken Language Understanding García-Granada, Fernando; Segarra Soriano, Encarnación; Millán, Carlos. - : Springer Verlag (Germany), 2016 BASE Show details 16 Language identification of multilingual posts from Twitter: a case study Hurtado Oliver, Lluis Felip; Pla Santamaría, Ferran. - : Springer Verlag (Germany), 2016 BASE Show details 17 Multilingual Spoken Language Understanding using graphs and multiple translations Calvo Lance, Marcos; Hurtado Oliver, Lluis Felip; García-Granada, Fernando. - : Elsevier, 2016 BASE Show details 18 Prototipo de sistema de comprensión de habla multilingüe Laguna Bello, Sergio. - : Universitat Politècnica de València, 2015 BASE Show details 19 Combining Several ASR Outputs in a Graph-Based SLU System Calvo Lance, Marcos; Hurtado Oliver, Lluis Felip; García-Granada, Fernando. - : Springer, 2015 BASE Show details 20 Sentiment Analysis in Twitter for Spanish Pla Santamaría, Ferran; Hurtado Oliver, Lluis Felip. - : Springer Lecture Notes in Computer Science Volume 8455 2014, 2014 BASE Show details Page: 1 2

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