http://hdl.handle.net/10071/5716 2026-04-07T04:47:25Z http://hdl.handle.net/10071/20137 Título próprio: Adaptação acústico-prosódica local em Português Europeu Autoria: Cabarrão, V.; Batista, F.; Moniz, H.; Trancoso, I.; Mata, A. I. Resumo: This paper presents an acoustic-prosodic analysis of entrainment in map-task dialogues in European Portuguese. Our main goal is to analyze how turn-by-turn entrainment varies with distinct structural metadata events: types of sentence-like units (SUs) in consecutive turns (e.g. interrogatives followed by declaratives, or both declaratives), and with the presence of discourse markers, affirmative cue words, and disfluencies in the beginning of turns. Results show that entrainment at turn-exchanges occurs in terms of pitch, energy, duration, and voice quality. Considering SUs types, question-answer pairs are the ones with stronger similarity, as declarative-interrogative turns are the ones where less entrainment occurs. Moreover, in question-answer pairs, Yes/No and Tag questions present stronger evidences of entrainment than Wh- questions. Regarding turn-initial structures, there are evidences of (i) stronger entrainment when the second turn begins with an affirmative cue word, (ii) less strong with ambiguous structures (such as ‘OK’), emphatic affirmative answers, and negative cue words; (iii) and scarce with disfluencies and discourse markers. Different degrees of local entrainment may be related to the informative structure of distinct structural metadata events. 2019-01-01T00:00:00Z http://hdl.handle.net/10071/20136 Título próprio: Uma abordagem de aprendizagem semissupervisionada para a classificação automática de personalidade baseada em pistas acústico-prosódicas Autoria: Solera-Ureña, R.; Moniz, H.; Batista, F.; Cabarrão, V.; Pompili, A.; Astudillo, R.; Trancoso, I. Resumo: Automatic personality analysis has gained great attention in the last years as a fundamental dimension in human-machine interactions. However, the development of this technology in some domains, such as the classification of children’s personality, has been hindered by the limited number and size of the available speech corpora due to ethical concerns on collecting such corpora. To circumvent the lack of data, we have investigated the application of a semi-supervised training approach that makes use of heterogeneous (age and language mismatches) and partially non-labelled data sets. Namely, preliminary personality models trained using a small labelled data set with French speaking adults are iteratively refined using a larger unlabeled set of Portuguese children’s speech, whereas a labelled corpus of Portuguese children is used for evaluation. We also investigated speech representations based on prior linguistic knowledge on acoustic-prosodic clues for personality classification tasks and have analysed their relevance in the assessment of each personality trait. The results point out to the potential of applying semi-supervised learning approaches with heterogeneous data sets to overcome the lack of labelled data in under-resourced domains, and to the existence of acousticprosodic clues shared by speakers with different languages and ages, which allows for the classification of personality independently of these variables. 2019-01-01T00:00:00Z http://hdl.handle.net/10071/19767 Título próprio: Reconhecimento de actos de diálogo hierárquicos e multi-etiqueta em dados em Espanhol Autoria: Ribeiro, E.; Ribeiro, R.; Matos, D. M. de. Resumo: Os actos de diálogo revelam a intenção por trás das palavras pronunciadas. Por isso, o seu reconhecimento automático é importante para um sistema de diálogo que tenta entender o seu interlocutor. O estudo apresentado neste artigo aborda essa tarefa no corpus DIHANA, cujo esquema de anotação de actos de diálogo em três níveis coloca problemas que não foram explorados em estudos recentes. Além do problema hierárquico, os dois níveis inferiores colocam problemas de classificação multi-etiqueta. Além disso, cada nível da hierarquia refere-se a um aspecto diferente relativo à intenção do orador, tanto em termos da estrutura do diálogo, como da tarefa. Por outro lado, uma vez que os diálogos são em espanhol, este corpus permite-nos avaliar se as melhores abordagens para dados em inglês generalizam para uma língua diferente. Mais especificamente, comparamos o desempenho de diferentes abordagens de representação de segmentos, com foco tanto em sequências como em padrões de palavras, e avaliamos a importância do histórico do diálogo e das relações entre os múltiplos níveis da hierarquia. No que diz respeito ao problema de classificação de etiqueta única colocado pelo nível superior, mostramos que as conclusões obtidas a partir de dados em inglês se mantêm em dados em espanhol. Para além disso, mostramos que as abordagens podem ser adaptadas para cenários multi-etiqueta. Por fim, combinando hierarquicamente os melhores classificadores para cada nível, obtemos os melhores resultados reportados para este corpus. 2019-01-01T00:00:00Z http://hdl.handle.net/10071/18171 Título próprio: Predictive models for hotel booking cancellation: a semi-automated analysis of the literature Autoria: António, N.; de Almeida, A.; Nunes, Luis Resumo: In reservation-based industries, an accurate booking cancellation forecast is of foremost importance to estimate demand. By combining data science tools and capabilities with human judgement and interpretation, this paper aims to demonstrate how the semiautomatic analysis of the literature can contribute to synthesizing research findings and identify research topics about booking cancellation forecasting. Furthermore, this works aims, by detailing the full experimental procedure of the analysis, to encourage other authors to conduct automated literature analysis as a means to understand current research in their working fields. The data used was obtained through a keyword search in Scopus and Web of Science databases. The methodology presented not only diminishes human bias, but also enhances the fact that data visualisation and text mining techniques facilitate abstraction, expedite analysis, and contribute to the improvement of reviews. Results show that despite the importance of bookings’ cancellation forecast in terms of understanding net demand, improving cancellation, and overbooking policies, further research on the subject is still needed. 2019-01-01T00:00:00Z