Planells Lerma, Joaquín; Hurtado Oliver, Lluis Felip; Segarra Soriano, Encarnación; Sanchís Arnal, Emilio(ISCA. The International Speech Communication Association., 2013-08-25)
[EN] In this paper, we present an architecture to create a multidomain
spoken dialog system with minimum effort by composing
heterogeneous pre-existent spoken dialog systems into
a new system able to perform richer ...
In this paper, we present a statistical approach to Language
Understanding that allows to avoid the effort of obtaining new semantic
models when changing the language. This way, it is not necessary to acquire
and label ...
Hurtado Oliver, Lluis Felip; Calvo Lance, Marcos; Gómez Adrian, Jon Ander; García Granada, Fernando; Sanchís Arnal, Emilio(Springer Verlag (Germany), 2013)
Query-by-Example Spoken Term Detection (QbE-STD) tasks are usually addressed by representing speech signals as a sequence of feature vectors by means of a parametrization step, and then using a pattern matching technique ...
Search in audio archives is a challenging problem. Using prosodic information to help find relevant content has been proposed as a complement to word-based retrieval, but its utility has been an open question. We propose ...
Calvo Lance, Marcos(Universitat Politècnica de València, 2016-04-11)
[EN] In this thesis, the problem of multilingual spoken language understanding is addressed using graphs to model and combine the different knowledge sources that take part in the understanding process. As a result of this ...
[EN] There are two main strategies to adapt a Spoken Language
Understanding system to deal with languages different from the original
(source) language: test-on-source and train-on-target. In the train-ontarget
approach, ...
[EN] Query-by-example Spoken Term Detection (QbE STD) aims to retrieve data from a speech repository given an acoustic (spoken) query containing the term of interest as the input. This paper presents the systems submitted ...
In general, large amount of segmented and labeled data is needed to estimate statistical language understanding systems. In recent years, different approaches have been proposed to reduce the segmentation and labeling ...
González-Barba, José Ángel; Julien Delonca; Sanchís Arnal, Emilio; García-Granada, Fernando; Segarra Soriano, Encarnación(Sociedad Española para el Procesamiento del Lenguaje Natural, 2019-09)
[EN] In this paper, we present an approach to multi-document summarization based on Siamese Hierarchical Attention Neural Networks. The attention mechanism of Hierarchical Attention Networks, provides a score to each ...
González Barba, José Ángel(Universitat Politècnica de València, 2021-09-02)
[ES] Hoy en día, la sociedad tiene acceso y posibilidad de contribuir a grandes cantidades de contenidos presentes en Internet, como redes sociales, periódicos online, foros, blogs o plataformas de contenido multimedia. ...
[EN] In this work, a general theoretical framework for extractive summarization is proposed¿the Attentional Extractive Summarization framework. Although abstractive approaches are generally used in text summarization today, ...
Campos Mocholí, Mario(Universitat Politècnica de València, 2021-09-13)
[CA] Cada vegada són més les empreses que opten per utilitzar la intel·ligència artificial per
a automatitzar tasques dins de les organitzacions, permetent així reassignar al personal
dedicat a aquestes i aconseguint una ...
[EN] We are interested in the problem of learning Spoken Language Understanding (SLU) models for multiple target languages. Learning such models requires annotated corpora, and porting to different languages would require ...
In this paper, we present an approach to Spoken Language
Understanding (SLU) where we perform a combination of multiple
hypotheses from several Automatic Speech Recognizers (ASRs) in
order to reduce the impact of ...
[EN] Modern data-driven spoken language systems (SLS) require manual semantic annotation for training spoken language understanding parsers. Multilingual porting of SLS demands significant manual effort and language ...
Gómez Requena, David(Universitat Politècnica de València, 2019-10-04)
[ES] En este trabajo van a ser desarrollados algoritmos que sirven para simular el
aprendizaje de las lenguas que realizan los niños. El proceso principal consiste en la
búsqueda en discursos largos de audio, de segmentos ...
Canora Alonso, Marco(Universitat Politècnica de València, 2020-06-26)
[ES] Este estudio propone un nuevo modelo de resumen de documentos basado en técnicas no supervisadas. Concretamente, uno basado en el etiquetado de palabras utilizando Latent Dirichlet Allocation frente al enfoque clásico ...
Laguna Bello, Sergio(Universitat Politècnica de València, 2017-02-02)
[EN] In this project different tasks related to natural language processing are stud-
ied. Specifically, the work is based on spoken language tasks where the
amount of resources is limited or inexistent for the language. ...
García-Granada, Fernando; Calvo Lance, Marcos; Hurtado Oliver, Lluis Felip; Sanchís Arnal, Emilio; Segarra Soriano, Encarnación(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015-09)
[EN] In this paper, a study of different approaches to the problem of speech
understanding in restricted semantic domains is presented. Two systems based on
generative models are proposed and they are compared with a ...