• Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop

  Prieto, Luis P.; Martínez-Maldonado, Roberto; Spikol, Daniel; Hernández Leo, Davinia; Rodríguez-Triana, María Jesús; Ochoa, Xavier (CEUR Workshop Proceedings, 2017)

  Learning is a complex, mostly invisible process that happens across spaces, occurring in the physical world but also increasingly in virtual worlds or web-based spaces. In order to explore what happens in such blended ...
• Shortfall-based optimal placement of security resources for mobile IoT scenarios

  Rullo, Antonino; Serra, Edoardo; Bertino, Elisa; Lobo, Jorge (Springer, 2017)

  We present a method for computing the best provisioning of security resources for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is specifed by a security ...
• Topic detection using the DBSCAN-Martingale and the time operator

  Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Antoniou, Ioannis (2017)

  Topic detection is usually considered as a decision process implemented in some relevant context, for example clustering. In this case, clusters correspond to topics that should be identifed. Density-based clustering, ...
• Towards reasoned modality selection in an embodied conversation agent

  Ten-Ventura, Carla; Carlini, Roberto; Dasioupoulou, Stamatia; LLorach Tó, Gerard; Wanner, Leo (Springer, 2017)

  We present work in progress on (verbal, facial, and gestural) modality selection in an embodied multilingual and multicultural conversation agent. In contrast to most of the recent proposals, which consider non-verbal ...
• Towards multiple antecedent coreference resolution in specialized discourse

  Burga Díaz, Alicia; Cajal, Sergio; Codina-Filbà, Joan; Wanner, Leo (LREC, 2016)

  Despite the popularity of coreference resolution as a research topic, the overwhelming majority of the work in this area focused so far on single antecedence coreference only. Multiple antecedent coreference (MAC) has been ...
• A Semi-supervised approach for gender identification

  Soler Company, Juan; Wanner, Leo (LREC, 2016)

  In most of the research studies on Author Profiling, large quantities of correctly labeled data are used to train the models. However, this does not reflect the reality in forensic scenarios: in practical linguistic forensic ...
• Assessment of haemodynamic remodeling in fetal aortic coarctation using a lumped model of the circulation

  Giménez Mínguez, Paula; Bijnens, Bart; Bernardino Perez, Gabriel; Lluch Alvarez, Èric; Soveral, Iris; Gómez, Olga; García Cañadilla, Patricia, 1985- (Springer, 2017)

  Introduction: Aortic coarctation is one of the most difficult cardiac defects to diagnose before birth, and it accounts for 8% of congenital heart diseases. Antenatal diagnosis is crucial for early treatment of the neonate ...
• Automatic labeling of vascular structures with topological constraints via HMM

  Wang, Xingce; Liu, Yue; Wu, Zhongke; Mou, Xiao; Zhou, Mingquan; González Ballester, Miguel Ángel, 1973-; Zhang, Chong (2017)

  Identifcation of anatomical vessel branches is a prerequisite task for diagnosis, treatment and inter-subject comparison. We propose a novel graph labeling approach to anatomically label vascular structures of interest. ...
• Audio, video and multimodal person identification in a smart room

  Luque, Jordi; Morros, R.; Garde, I.; Anguita, Jan; Farrús, Mireia; Macho, D.; Marqués, F.; Martínez, C.; Vilaplana, V.; Hernando, Javier (Springer, 2007)

  In this paper, we address the modality integration issue on the example of a smart room environment aiming at enabling person identification by combining speech and 2D face images. First we introduce the monomodal audio ...
• A web-based translation service at the UOC based on Apertium

  Villarejo Muñoz, Luis; Farrús, Mireia; Ortiz, Sergio; Ramírez, Gemma (Institute of Electrical and Electronics Engineers (IEEE), 2010)

  In this paper, we describe the adaptation process of Apertium, a free/open-source rule-based machine translation platform which is operating in a number of different real-life contexts, to the linguistic needs of the ...
• Fusion of valence and arousal annotations through dynamic subjective ordinal modelling

  Ruiz, Adrià; Martinez, Oriol; Binefa i Valls, Xavier; Sukno, Federico M. (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  An essential issue when training and validating computer vision systems for affect analysis is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this paper, we address this problem ...
• Towards estimating the upper bound of visual-speech recognition: the visual lip-reading feasibility databas

  Fernandez-Lopez, Adriana; Martinez, Oriol; Sukno, Federico M. (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  Speech is the most used communication method between humans and it involves the perception of auditory and visual channels. Automatic speech recognition focuses on interpreting the audio signals, although the video can ...
• FORGe at SemEval-2017 Task 9: deep sentence generation based on a sequence of graph transducers

  Mille, Simon; Carlini, Roberto; Burga Díaz, Alicia; Wanner, Leo (ACL (Association for Computational Linguistics), 2017)

  We present the contribution of Universitat Pompeu Fabra’s NLP group to the Sem-Eval Task 9.2 (AMR-to-English Generation). The proposed generation pipeline comprises: (i) a series of rule-based graphtransducers for the ...
• A Social companion and conversation partner for elderly

  Miehle, Juliana; Bagci, Ilker; Minker, Wolfgang; Ultes, Stefan (2017)

  In this work, we present the development and evaluation of a social companion and conversation partner for the special user group of elderly.With the aim of designing a user-adaptive system, we responded to the desires ...
• Exploring the applicability of elaborateness and indirectness in dialogue management

  Pragst, Louisa; Minker, Wolfgang; Ultes, Stefan (2017)

  In this paper, we investigate the applicability of soft changes to the system behaviour, namely changing the amount of elaborateness and indirectness displayed. To this end, we examine the impact of elaborateness and ...
• Prosograph: a tool for prosody visualisation of large speech corpora

  Öktem, Alp; Farrús, Mireia; Wanner, Leo (2017)

  This paper presents an open-source tool that has been developed to visualize a speech corpus with its transcript and prosodic features aligned at word level. In particular, the tool is aimed at providing a simple and clear ...
• A Thematicity-based prosody enrichment tool for CTS

  Domínguez Bajo, Mónica; Farrús, Mireia; Wanner, Leo (2017)

  This paper presents a demonstration of a stochastic prosody tool for enrichment of synthesized speech using SSML prosody tags applied over hierarchical thematicity spans in the context of a CTS application. The motivation ...
• Using prosody to classify discourse relations

  Kleinhans, Janine; Farrús, Mireia; Gravano, Agustín; Pérez, Juan Manuel; Lai, Catherine; Wanner, Leo (2017)

  This work aims to explore the correlation between the discourse structure of a spoken monologue and its prosody by predicting discourse relations from different prosodic attributes. For this purpose, a corpus of semi-spontaneous ...
• Automatic extraction of parallel speech corpora from dubbed movies

  Öktem, Alp; Farrús, Mireia; Wanner, Leo (ACL (Association for Computational Linguistics), 2017)

  This paper presents a methodology to extract parallel speech corpora based on any language pair from dubbed movies, together with an application framework in which some corresponding prosodic parameters are extracted. ...
• Characterizing patterns of response during mild stress-testing in continuous echocardiography recordings using a multiview dimensionality reduction technique

  Nogueira, Mariana; Piella Fenoy, Gemma; Sanchez Martinez, Sergio; Langet, Hélène; Saloux, Eric (Springer, 2017)

  In this paper, we capture patterns of response to cardiac stress-testing using a multiview dimensionality reduction technique that allows the compact representation of patient response to stress, regarding multiple features ...

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