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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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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
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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
Abstract: This is the author’s version of a work that was accepted for publication in Computer Speech and Language. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Speech and Language, vol. 38 (2016). DOI 10.1016/j.csl.2016.01.002. ; In this paper, we present an approach to multilingual Spoken Language Understanding based on a process of generalization of multiple translations, followed by a specific methodology to perform a semantic parsing of these combined translations. A statistical semantic model, which is learned from a segmented and labeled corpus, is used to represent the semantics of the task in a language. Our goal is to allow the users to interact with the system using other languages different from the one used to train the semantic models, avoiding the cost of segmenting and labeling a training corpus for each language. In order to reduce the effect of translation errors and to increase the coverage, we propose an algorithm to generate graphs of words from different translations. We also propose an algorithm to parse graphs of words with the statistical semantic model. The experimental results confirm the good behavior of this approach using French and English as input languages in a spoken language understanding task that was developed for Spanish. (C) 2016 Elsevier Ltd. All rights reserved. ; This work is partially supported by the Spanish MEC under contract TIN2014-54288-C4-3-R and by the Spanish MICINN under FPU Grant AP2010-4193. ; Calvo Lance, M.; Hurtado Oliver, LF.; García-Granada, F.; Sanchís Arnal, E.; Segarra Soriano, E. (2016). Multilingual Spoken Language Understanding using graphs and multiple translations. Computer Speech and Language. 38:86-103. https://doi.org/10.1016/j.csl.2016.01.002 ; S ; 86 ; 103 ; 38
Keyword: Graph of concepts; Graph of words; LENGUAJES Y SISTEMAS INFORMATICOS; Multilingual Language Understanding; Statistical semantic models
URL: https://doi.org/10.1016/j.csl.2016.01.002
http://hdl.handle.net/10251/81363
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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
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