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 46 for “"semantic representation"”.
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Semantic Representation of L2 Lexicon in Japanese University Students
In a series of studies using semantic relatedness judgment response times, Jiang (2000, 2002, 2004a) has claimed that L2 lexical entries fossilize with their equivalent L1 content or something very close to it. In another study using a more productive test of lexical knowledge (Jiang 2004b), …
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GPSZip : semantic representation and compression system for GPS using coresets
We present a semantic approach for compressing mobile sensor data and focus on GPS streams. Unlike popular text-compression methods, our approach takes advantage of the fact that agents (robotic, personal, or vehicular) perform tasks in a physical space, and the resulting sensor stream usually …
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Semantic representation of digital ink in the classroom learning partner
… technology in the classroom: interpretation and semantic representation of digital ink. The teaching paradigm being investigated is that of in-class exercises, which have proven beneficial to student learning. Recent advances in educational technology support such exercises by means of …
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From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
… rephrase complex English sentences within the semantic context in which they occur. By generating a fine-grained output with a simple canonical structure that is easy to analyze by downstream applications, we tackle the first issue. For this purpose, we decompose a source sentence into smaller …
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Injecting Inductive Biases into Distributed Representations of Text
Distributed real-valued vector representations of text (a.k.a. embeddings), learned by neural networks, encode various (linguistic) knowledge. To encode this knowledge into the embeddings the common approach is to train a large neural network on large corpora. There is, however, a growing concern …
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The semantics of role labeling
The problem of ascribing a semantic representation to text is an important one that can help text understanding problems like textual entailment. In this thesis, we address the problem of assigning a shallow semantic representation to text. This problem is traditionally studied in the context of …
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Context-based multimedia semantics modelling and representation
… decisions. Existing methods for multimedia semantic understanding are limited to the computable low-level features; which raises the question of how to identify and represent the high-level semantic knowledge in multimedia resources.In order to bridge the semantic gap between multimedia …
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Using a Delayed Match-to-Samples Task to Investigate the Isolated Processing of Geometric Shapes and Their Corresponding Shape Words
… 2010), but isolating geometric processing from semantic processing has remained difficult. Recently, Sturz, Edwards, and Boyer (2014) utilized a delayed match-to-sample (DMTS) task to present participants with a sample composed of a shape, shape word, or a bi-dimensional stimulus composed of a …
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A generalized (k, m)-segment mean algorithm for long term modeling of traversable environments
We present an ecient algorithm for computing semantic environment models and activity patterns in terms of those models from long-term value trajectories defined as sensor data streams. We use an expectation-maximization approach to calculate a locally optimal set of path segments with minimal …
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Semantic representations for spatial expressions
… are expressed via a spatial preposition? What semantic features can we draw from the meanings of the spatial prepositions? How can we decide which semantic features are necessary to specify spatial arrangements? And what kinds of semantic features should we employ in order to disambiguate …
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The building and application of a semantic platform for an e-research society
… is developing out of my-Experiment could use Semantic Web technologies to provide users with a significantly richer representation of their research and research processes to better support reproducible research. One of the initial major contributions was building an ontology for myExperiment. …
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The nature of semantic memory deficits in Alzheimer's disease : evidence from event-related brain potentials and reaction time measures
The nature of semantic memory deficits in Alzheimer's disease: Evidence from event-related brain potentials and reaction time measures Semantic memory impairment is commonly observed in patients with dementia of the Alzheimer type (DAT); however the nature of the impairment is unclear. Some …
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Spatial provenance: A case study on geological carbon sequestration
… provenance information is tackled by exploiting semantic representations and database technologies to enable the comparison of alternative and/or historical iterations of spatial data processing workflows. Using a case study based on geological carbon sequestration research, this thesis examines …
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Interface issues in the English imperative
… aspectual feature that is incompatible with the semantic representation of stative predicates. Therefore, the restriction against overt subjects in imperatives with such predicates reflects not a failure in the syntactic component, but ineffability at the LF-interface, where the meaning …
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Learning semantic maps from natural language
… language understanding requires robots to learn representations of their environments that are compatible with the conceptual models used by people. Current approaches to constructing such spatial-semantic representations rely solely on traditional sensors to acquire knowledge of the environment, …
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Diagnosing Reading strategies: Paraphrase Recognition
… and developed a means of representing the semantic structure of sentences. Paraphrases are recognized by transforming sentences into this representation and comparing them. To construct a precise semantic representation, it is important to understand the meaning of prepositions. Adding …
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Machine learning methods for vector-based compositional semantics
Rich semantic representations of linguistic data are an essential component to the development of machine learning algorithms for natural language processing. This thesis explores techniques to model the meaning of phrases and sentences as dense vectors, which can then be further analysed and …
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Deep learning for spoken dialogue systems : application to nutrition
… translate a user's natural language query into a semantic representation that the back-end can then use to retrieve information from relevant data sources. For example, answering a user's question about the number of calories in a food requires querying a database with nutrition facts for various …
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Pictures, Words, And Synonymy: Representations And Processes
… which contrast the hypothesis that synonymy is semantically represented with the hypothesis that synonymy is lexically represented. They also stress the importance of task focal information in the interpretation of experimental results. Current mental models appear to operate with the implicit …
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Children's production of locative expressions in English : the influence of geometric and extra-geometric factors
… factors) and that this is reflected in the semantic representations of these words. More recently, researchers investigating the lexical semantics of spatial prepositions have begun to question this assumption by demonstrating that what objects are and how they are interacting can also …
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