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 7 of 7 for “"Vector space models"”.
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Rational Creatures: Using Vector Space Models to Examine Independence in the Novels of Jane Austen, Maria Edgeworth, and Sydney Owenson (1800–1820)
… carried out on the application of term-document vector space models (topic models and frequency based analysis) to nineteenth century novels, no study exists which applies word-context models (word embeddings and semantic networks) to the novels of Austen, Edgeworth, and Owenson. This study, …
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Machine Learning And Natural Language Methods For Detecting Psychopathy In Textual Data
… is to validate or disqualify traditional vector-space models on a corpus whose authors consistently try to hide in plain sight.
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KNN Optimization for Multi-Dimensional Data
… a KNN optimization algorithm which leverages vector space models to enhance the nearest neighbors search for a new sample. It accomplishes this enhancement by restricting the search area, and therefore reducing the number of comparisons necessary to find the nearest neighbors. The experimental …
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Enhancing the Data, Information and Knowledge from Proteomics Experiments through Biomedical Informatics
… discovery and facilitate trans-omics research. Vector space models are developed and applied here to allow comparisons based on information as opposed to data and removes inherent difficulty in comparing systems biology studies. This work has provided substantial enhancement to proteomics and …
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Functional Distributional Semantics: Learning Linguistically Informed Representations from a Precisely Annotated Corpus
… state of the art is to represent meanings as vectors – but vectors do not correspond to any traditional notion of meaning. In particular, there is no way to talk about truth, a crucial concept in logic and formal semantics. In this thesis, I develop a framework for distributional semantics …
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Transparent Analysis of Multi-Modal Embeddings
Vector Space Models of Distributional Semantics – or Embeddings – serve as useful statistical models of word meanings, which can be applied as proxies to learn about human concepts. One of their main benefits is that not only textual, but a wide range of data types can be mapped to a space, where …
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Φασματικές μέθοδοι ανάκτησης πληροφορίας, εργαλεία λογισμικού και εφαρμογές
Η διαρκώς αυξανόμενη διαθεσιμότητα ηλεκτρονικών πηγών πληροφόρησης έχει δημιουργήσει νέα δεδομένα και απαιτήσεις στην περιοχή της Ανάκτησης Πληροφορίας. Υπάρχει αδιάκοπη ανάγκη για βελτίωση των υπαρχόντων και σχεδίαση νέων αλγορίθμων, που να επιτυγχάνουν υψηλή απόδοση και αξιοπιστία. Ένα επιπλέον …