90 research outputs found

    Grammar and context in Functional Discourse Grammar

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    Cognitive status and referential acts in functional discourse grammar

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    In Functional Discourse Grammar, both Ascription and Reference are characterized as actional processes and are captured at the Interpersonal Level of linguistic description. Additionally, the temporal sequencing of Discourse Acts seems relevant to establishing dependency relations among them. However, the remainder of the levels of representation in the theory contain static descriptions of linguistic structures and not of processes. In this paper, I will argue that this is the result of an inherent contradiction between FDG?s characterization as a static grammar and the dynamicity of verbal interaction, which is best solved if the theory commits itself to the procedural nature of the Interpersonal Level. In order to do so, the different categories that have been identified in the literature on the cognitive status of referents should find relevance in the grammar. Elaborating upon García Velasco (2014), I will show that the temporal dimension of the text creating activity and referent accessibility, are relevant for a full account of constituent preposing in Spanish

    A day in the life of younger and older workers: an investigation of the salience of daily events

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    In this study the Affective Events theory, Socioemotional selectivity theory, and social information processing approach are used to understand differences in saliency in the workers. Affective Events Theory contributes with its macrostructure and methodology of study. Socioemotional Selectivity Theory contributes to confirm the differences in younger and older adults in the motivation for social interaction that creates a saliency for generative motives for older adults. And Social Information Processing Approach contributes with the importance given to the context and contextual saliency, where something distinct stands out from the background. The results reveal that allied with, low activation positive emotions, social events are predicted by age; managerial and colleague support are positively associated with social events and confirm AET macro-structure. And social events associated with low activation negative emotions are predicted by managerial support. A moderation is significant and shows a negative relationship for older workers when moderating managerial support and social events associated with high activation positive emotions. Meaning that older workers don’t experience happiness associated with social events (for example) when they receive managerial support. Limitations, practical and theoric implications are discussed.Neste estudo a Teoria dos Eventos Afetivos, a Teoria da Seleção Socioemocional e da Abordagem de Processamento de Informação Social foram utilizadas para perceber as diferentes saliências presentes nos trabalhadores. A Teoria dos Eventos Afectivos contribui com a sua macroestrutura e com a metodologia de estudo dos diários. A Teoria da Selecção Socioemotional contribui para perceber as diferenças entre trabalhadores mais velhos e mais novos e as diferentes motivações para uma interacção social. Devido a estas diferentes motivações que causam uma saliência na forma como se vê a interacção com os outros.A Abordagem do Processamento Social da Informação contribui com o peso que dá ao contexto e consequentemente à saliência contextual em que algo distinto chama a atenção. Os resultados revelam que os mais velhos relatam mais emoções positivas de baixa activação em associação com eventos sociais diários. O apoio de colegas e managers está positivamente associado a eventos sociais confirmando a macroestrutura da Teoria dos Eventos Afectivos. Finalmente, o apoio dos managers está associado a emoções negativas de baixa activação, podendo por exemplo querer dizer que tem menos eventos depressivos. A moderação demonstra que para os trabalhadores mais velhos o apoio de managers não desperta emoções positivas e de alta activação associadas a eventos sociais. Limitações, implicações práticas e teóricas são discutidas

    Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection

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    Top-down saliency models produce a probability map that peaks at target locations specified by a task/goal such as object detection. They are usually trained in a fully supervised setting involving pixel-level annotations of objects. We propose a weakly supervised top-down saliency framework using only binary labels that indicate the presence/absence of an object in an image. First, the probabilistic contribution of each image region to the confidence of a CNN-based image classifier is computed through a backtracking strategy to produce top-down saliency. From a set of saliency maps of an image produced by fast bottom-up saliency approaches, we select the best saliency map suitable for the top-down task. The selected bottom-up saliency map is combined with the top-down saliency map. Features having high combined saliency are used to train a linear SVM classifier to estimate feature saliency. This is integrated with combined saliency and further refined through a multi-scale superpixel-averaging of saliency map. We evaluate the performance of the proposed weakly supervised topdown saliency and achieve comparable performance with fully supervised approaches. Experiments are carried out on seven challenging datasets and quantitative results are compared with 40 closely related approaches across 4 different applications.Comment: 14 pages, 7 figure

    A Review on Personalized Tag based Image based Search Engines

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    The development of social media based on Web 2.0, amounts of images and videos spring up everywhere on the Internet. This phenomenon has brought great challenges to multimedia storage, indexing and retrieval. Generally speaking, tag-based image search is more commonly used in social media than content based image retrieval and content understanding. Thanks to the low relevance and diversity performance of initial retrieval results, the ranking problem in the tag-based image retrieval has gained researchers� wide attention. We will review some of techniques proposed by different authors for image retrieval in this paper

    Do Dolphins Rehearse Show-Stimuli When at Rest? Delayed Matching of Auditory Memory

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    The mechanisms underlying vocal mimicry in animals remain an open question. Delphinidae are able to copy sounds from their environment that are not produced by conspecifics. Usually, these mimicries occur associated with the context in which they were learned. No reports address the question of separation between auditory memory formation and spontaneous vocal copying although the sensory and motor phases of vocal learning are separated in a variety of songbirds. Here we show that captive bottlenose dolphins produce, during their nighttime resting periods, non-dolphin sounds that they heard during performance shows. Generally, in the middle of the night, these animals produced vocal copies of whale sounds that had been broadcast during daily public shows. As their life history was fully known, we know that these captive dolphins had never had the opportunity to hear whale sounds before then. Moreover, recordings made before the whale sounds started being broadcast revealed that they had never emitted such sounds before. This is to our knowledge the first evidence for a separation between formation of auditory memories and the process of learning to produce calls that match these memories in a marine mammal. One hypothesis is that dolphins may rehearse some special events heard during the daytime and that they then express vocally what could be conceived as a more global memory. These results open the way for broader views on how animals might rehearse life events while resting or maybe dreaming

    Hemispheric Asymmetry of Globus Pallidus Explains Reward-related Posterior Alpha Modulation in Humans

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    While subcortical structures such as the basal ganglia (BG) have been widely explored in relation to motor control, recent evidence suggests that their mechanisms extend to the domain of attentional switching. We here investigated the subcortical involvement in reward related top-down control of visual alpha-band oscillations (8 – 13 Hz), which have been consistently linked to the mechanisms supporting the allocation of visual spatial attention. Given that items associated with contextual saliency (e.g. monetary reward or loss) attract attention, it is not surprising that alpha oscillations are further modulated by the saliency properties of the visual items. The executive network controlling such reward-dependent modulations of oscillatory brain activity has yet to be fully elucidated. Although such network has been explored in terms of cortico-cortical interaction, it likely relies also on the contribution of subcortical regions. To uncover this, we investigated whether derived measures of subcortical structural asymmetries could predict interhemispheric modulation of alpha power during a spatial attention task. We show that volumetric hemispheric lateralization of globus pallidus (GP) and thalamus (Th) explains individual hemispheric biases in the ability to modulate posterior alpha power. Importantly, for the GP, this effect became stronger when the value-saliency parings in the task increased. Our findings suggest that the Th and GP in humans are part of a subcortical executive control network, differently involved in modulating posterior alpha activity. Further investigation aimed at uncovering the interaction between subcortical and neocortical attentional networks would provide useful insight in future studies

    Shape measure for identifying perceptually informative parts of 3d objects

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    We propose a mathematical approach for quantifying shape complexity of 3D surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3D feature, combines surface curvature and information theory by leveraging bandwidth-optimized kernel density estimators. Using a part decomposition algorithm for digitized 3D objects, represented as triangle meshes, we apply our shape measure to transform the low level mesh representation into a perceptually informative form. Further, we analyze the effects of noise, sensitivity to digitization, occlusions, and descriptiveness to demonstrate our shape measure on laser-scanned real world 3D objects. 1
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