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Showing 1 to 20 of 47 for “"Semantic relations"”.
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Prediction of Word-Finding From Semantic Relations
Made available in DSpace on 2014-12-10T21:07:23Z (GMT). No. of bitstreams: 1 7212386.pdf: 5134569 bytes, checksum: 95ffd8824a70a490200f8045232e10d5 (MD5) Previous issue date: 1972
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Visualisation of semantic relations between nodes in hypertext-based learning systems
… with investigating the effects of visualising semantic relations between nodes on learning in hypertext-based learning systems.<br></br><br></br>One of the most commonly cited problems with hypertext is the distraction that stems from the high level of learner control in hypertext systems. This …
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In opposition to an organized lexicon: Pragmatic principles and lexical semantic relations
… that what are traditionally called lexical relations (antonymy, synonymy, hyponymy, meronymy, etc.) are not strictly part of linguistic knowledge. Instead, these semantic relations among words are shown to be predictable from more general cognitive principles. Special attention is paid to …
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Two approaches to robust hand pose estimation : generative modeling and semantic relations
This thesis explores hand pose estimation through the use of two methods. We first investigate the use of segmentation networks within pose estimation pipelines with a focus on fine parts segmentation. We present two implementations of a novel method for fine parts segmentation employing a …
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Computational Framing Analysis: Proposing And Applying an Unsupervised Entity-Centric Semantic Relations Approach
… incidents). The unsupervised method, named Semantic Relations-based Unsupervised Framing Analysis (SUFA), uses computational techniques to detect and analyze framing patterns based on semantic relations, moving beyond existing bag-of-words, co-occurrence, and frequency-based approaches. The …
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Inter-propositional semantic relations and semantic relational encoding in written discourse in Maori: an investigation
… is an investigation of the various ways in which relationships of meaning between propositions (such as reason-result and temporal overlap) are encoded (as clauses, sentences and groups of sentences) and signalled in Maori. In Chapter 1, the overall research topic and research questions are …
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Human concept cognition and semantic relations in the unified medical language system: A coherence analysis.
… representation and the psychological theory of semantic relations, ventured to explore the connection between the human conceptual model and the knowledge representation model (represented by samples of concepts and relations from the unified medical language system, UMLS). Guided by these …
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Classification of semantic relations in different syntactic structures in medical text using the MeSH hierarchy
… algorithms are evaluated in recognizing semantic relationships of different syntactic compounds. The compounds, which include noun- noun, adjective-noun, noun-adjective, noun-verb, and verb-noun, were extracted from a set of doctors' notes using a part of speech tagger and a parser. Each …
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Unsupervised Relation Extraction for E-Learning Applications
… Processing (NLP) based approach that relies on semantic relations extracted using Information Extraction to automatically generate MCTs. Information Extraction (IE) is an NLP field used to recognise the most important entities present in a text, and the relations between those concepts, …
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Evaluation of Word and Paragraph Embeddings and Analogical Reasoning as an Alternative to Term Frequency-Inverse Document Frequency-based Classification in Support of Biocuration
… frequency (TF-IDF ) representation by capturing semantic relations? The analysis measures the quality of sentence classification using term TF-IDF representations, and finds a practical upper limit to precision and recall in a biomedical text classification task (F1-score of 0.85). Arguably, one …
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An unsupervised approach to identifying causal relations from relevant scenarios
Semantic relations between various text units play an important role in natural language understanding, as key elements of text coherence. The automatic identification of these semantic relationships is very important for many language processing applications. One of the most pervasive yet very …
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Methods for Measuring Semantic Similarity of Texts
Measuring semantic similarity is a task needed in many Natural Language Processing (NLP) applications. For example, in Machine Translation evaluation, semantic similarity is used to assess the quality of the machine translation output by measuring the degree of equivalence between a reference …
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A network approach to topic summary and knowledge discovery in social tagging
This doctoral research focuses on studying the semantic relations between social tags, items and content creators through co-occurrence analysis, social network analysis and information visualization, thus revealing the role played by social tags in representing and classifying contents and …
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A General Purpose Semantic Parser Using FrameNet and WordNet®.
… correspondence between syntactic rules and semantic rules. But such systems can only be applied to limited fragments of English. In this thesis, we propose a general-purpose shallow semantic parser which utilizes a semantic network (WordNet), and a frame dataset (FrameNet). Semantic …
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Syllables and the M Language : improving unknown word guessing
… by building a platform on top of XML and a semantic dictionary. Because the M Language is specifically designed for real-world data applications, it gives rise to several unique problems in natural language processing. I approach the problem of understanding unknown words by devising a novel …
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Η ΤΑΚΤΙΚΗ ΛΕΙΤΟΥΡΓΙΑ ΤΟΥ "ΑΝ ΚΑΙ" ΚΑΙ Η ΣΧΕΣΗ ΤΟΥ ΜΕ ΑΛΛΑ ΣΥΝΔΕΤΙΚΑ. ΣΗΜΑΣΙΟΛΟΓΙΚΗ ΑΝΑΛΥΣΗ
… (ΠΑΡΟΛΟ ΠΟΥ, ΕΝΩ). CRITERIA INDICATING THE SEMANTIC CHARACTER OF ORDINARY ΑΝ ΚΑΙ ARE: THE EMPHASIS ASSOCIATED WITH THE TRUTH OF THE MAIN CLAUSE, THE PRESERVATION OF THE TRUTH OF THE CONNECTED PROPOSITIONS, THE MONOTONICITY ENVIRONMENTS CREATED, THE IMPLICATION ASSOCIATED WITH THE CONNECTION, …
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STaRS.sys: designing and building a commonsense-knowledge enriched wordnet for therapeutic purposes
… tractable way, at least the kind of semantic knowledge contained in the so called feature norms. As a backbone for the development of this semantic resource we chose to exploit the Italian MultiWordNet lexicon derived from the original Princeton WordNet. We show that the WordNet model …
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Understanding Semantic Implicit Learning through distributional linguistic patterns: A computational perspective
… provides a computational perspective on Semantic Implicit Learning (SIL). It puts forward the idea that SIL does not depend on semantic knowledge as classically conceived but upon semantic-like knowledge gained through distributional analysis of massive linguistic input. Using methods …
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An ontological approach to model software quality assurance knowledge domain
… were the main sources of the terminology and semantic relations of the developed SQA conceptual model. A formal ontology was implemented using the semantic web open standard OWL language. To avoid contradictory information, the developed ontology was validated for consistency. Clarity and …
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Enhancing Search Engine Results: A Comparative Study of Graph and Timeline Visualizations for Semantic and Temporal Relationship Discovery
… to users, it fails to represent the underlying relations between different results. These relations, among others, can generally be of either a temporal or semantic nature. A user who wants to explore the results that are connected by those relations would have to make a manual effort to find …
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