Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 30 for “"Semantic Context"”.
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Semantic context produces overconfidence in one’s ability to perform highly specialised skills
… we provide evidence supporting the idea that semantic context can rapidly increase people’s confidence in their ability to perform these highly specialised skills. In Part 1, we asked some people (but not others) to watch a trivially informative video of a pilot landing a plane before they …
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Behavioural and Neuroimaging Studies of the Influence of Semantic Context on the Perception of Speech in Noise
Meaningful semantic context has been shown to improve comprehension of spoken sentences by young and old adults, especially in difficult listening conditions. Whether older adults benefit differently than younger adults is a topic of some controversy. I asked young (14 participants, 18-25) and …
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Case and Copular Sentences in Heritage Speakers of Russian
… the past and future tenses, alternating based on semantic context. This thesis poses two questions: first, can heritage speakers of Russian use case grammatically in all possible configurations? Second, when two cases are available, do they select one over the other based on semantic context? This …
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Semantic Language models with deep neural Networks
… these models as joint LMs. They use lexical and semantic units jointly in the LM. The second LM structure uses the semantic context of an utterance, which can also be described as “what the system understands”, to search for a better hypothesis that improves the recognition and the understanding …
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Context Effects on Sublexical Processing in Older and Younger Neurologically Typical Adults
… processing is obligatory to access lexical-semantic representations when stimuli are closely matched in perceptual discriminability. Moreover, a variety of studies have demonstrated that processing may be influenced by contextual factors such as real word/non-word status, and sentence …
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A context-sensitive meta-classifier for color-naming
Humans are sensitive to situational and semantic context when applying labels to colors. This is especially challenging for algorithms which attempt to replicate human categorization for communicative tasks. Additionally, mismatched color models between dialog partners can lead to a back-and-forth …
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The Geometry and Dynamics of Context
The notion of context is central to many areas in Psychology, especially memory. Mathematical models of memory employ context to cue contents of memory to retrieve specific events or items. Context effects are widespread. However, there have not been many attempts to specify what context in the …
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A capacity limited, cognitive constructionist model of virtual presence
… memory, which operate to create and maintain a semantic context or bias. Bottom-up information entering the sensory cortices is filtered by attention into working memory where it forms temporary structures encoding the subject's experience of the VE. These structures also receive top-down …
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Competing Cues in Ambiguous Speech Comprehension: The Role of Visual Competition and Linguistic Context
… to quickly resolve ambiguity, drawing on both context and word-meaning frequency information to correctly comprehend words with multiple meanings. While it is well established that more common meanings are accessed more easily and that strong context supports disambiguation, less is known about …
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Grounding Time Series in Language: Interpretable Reasoning with Large Language Models
… By grounding low-level signal descriptors in semantic context, our approach reframes time-series classification as a language-based reasoning task. We evaluate this method across 23 diverse univariate datasets spanning biomedical, sensor, and human activity domains. Despite requiring no …
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Information exchange between medical databases through automated identification of concept equivalence
… Transmission Enabler (MEDIATE) system identifies semantically equivalent concepts between databases to facilitate information exchange. MEDIATE employs a semantic network representation to model underlying native databases and to serve as an interface for database queries. This representation …
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Learning plan networks in conversational video games
… can infer the meaning of utterances based on semantic context. This thesis introduces a computational cognitive model of common ground called a Plan Network. A Plan Network is a statistical model that provides representations of social roles, object affordances, and expected patterns of …
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An adaptive crowdsourced investigation of word abbreviation techniques for text visualizations
… design also aims to investigate the effect of semantic context on the abbreviation that the participants create and the ability to decode them. Finally, based on the study data analysis we present a new technique to automatically make words as short as they need to be to maintain text …
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Learning to Generate and Refine Object Proposals
… in object proposal generation with 3D cues and contextual information, aiming to propose higher-quality object candidates which have higher object recall, better boundary coverage and lower number. We focus on three main issues: 1) how can we incorporate additional geometric and high-level …
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Learning to Generate and Refine Object Proposals
… in object proposal generation with 3D cues and contextual information, aiming to propose higher-quality object candidates which have higher object recall, better boundary coverage and lower number. We focus on three main issues: 1) how can we incorporate additional geometric and high-level …
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Artificial Intelligence (AI)-based Semantic Communications with Multimodal Data: Framework and Implementation
Semantic communication (SC) has emerged as an effective paradigm for reducing the bandwidth needs of wireless services by exploiting the so-called "semantics" or meaning behind the data. To date, existing works in this area either focus on multimodal approaches only and omit context-aware recovery …
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THE ROLE OF PHONOLOGY AND SEMANTICS IN THE LEXICAL PROCESSING OF ASL CORE LEXICAL ITEMS AND CLASSIFIER CONSTRUCTIONS
… non-signers. An interaction of phonology and semantics was observed. Classifier constructions are processed differently than core or nonce signs in signers. Differences in processing time for classifier constructions vs. core signs are interpreted as a reflection of the fact that the meaning …
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Prosody and syntactic processing
… information about their local syntactic and semantic context that allows listeners to predict upcoming linguistic structure. Chapter 4 investigates individual differences in the use of intonational phrase boundaries in attachment ambiguity resolution. The results suggest that the listeners’ …
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Smart Image Search System Using Personalized Semantic Search Method
… a big challenge now. While the traditional semantic search technologies seem to achieve the most relevant search result, however, it faces two problems: one is the one-size-fits-all problem, and another is low efficiency. The purpose of this research is to build a Smart Image Search System …
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High-performance Object Detection and Tracking Using Deep Learning
… human detection. Our main idea is to exploit semantic context information for human detection by using deeply learned semantic features provided by semantic segmentation masks. These segmentation masks play as an attention mechanism and enforce the detectors to focus on the image regions where …
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