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Relevant bibliographies by topics / INTEGRATING TEXT

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Dissertations / Theses

Academic literature on the topic 'INTEGRATING TEXT'

Author: Grafiati

Published: 11 September 2023

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Dissertations / Theses on the topic "INTEGRATING TEXT"

1

Keith, Karin J., and Renee Rice Moran. "Integrating Text Sets and Common Core." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/3612.

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2

Shmueli, Yael. "Integrating speech and visual text in multimodal interfaces." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1446688/.

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This work systematically investigates when and how combining speech output and visual text may facilitate processing and comprehension of sentences. It is proposed that a redundant multimodal presentation of speech and text has the potential for improving sentence processing but also for severely disrupting it. The effectiveness of the presentation is assumed to depend on the linguistic complexity of the sentence, the memory demands incurred by the selected multimodal configuration and the characteristics of the user. The thesis employs both theoretical and empirical methods to examine this cl

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3

Mastronardo, Claudio. "Integrating Deep Contextualized Word Embeddings into Text Summarization Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18468/.

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In questa tesi saranno usate tecniche di deep learning per affrontare unodei problemi più difficili dell’elaborazione automatica del linguaggio naturale:la generazione automatica di riassunti. Dato un corpus di testo, l’obiettivoè quello di generare un riassunto che sia in grado di distillare e comprimerel’informazione dall’intero testo di partenza. Con i primi approcci si é provatoa catturare il significato del testo attraverso l’uso di regole scritte dagliumani. Dopo questa era simbolica basata su regole, gli approcchi statistici hanno preso il sopravvento. Negli ultimi anni il deep learning

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4

Blunt, Aurelia LaShawn. "Teachers' Perceptions of Integrating Social Studies Text During Reading - Language Arts Instruction." ScholarWorks, 2015. http://scholarworks.waldenu.edu/dissertations/1377.

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In a large urban school system located in a metropolitan city in the southeastern United States, third- and fifth-grade minority students in Title I elementary schools are performing below proficiency in social studies on the statewide standardized assessments. The lack of exposure to the social studies curriculum continues to hinder minority students from successfully comprehending complex informational text, which is important to their success in the newly adopted Common Core State Standards (CCSS). The purpose of this qualitative study was to explore the problem teachers faced with an insuf

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5

Gerner, Lars Martin Anders. "Integrating text-mining approaches to identify entities and extract events from the biomedical literature." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/integrating-textmining-approaches-to-identify-entities-and-extract-events-from-the-biomedical-literature(44f8e79a-3782-4687-85c7-eee1fda5cb76).html.

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The amount of biomedical literature available is increasing at an exponential rate and is becoming increasingly difficult to navigate. Text-mining methods can potentially mitigate this problem, through the systematic and large-scale extraction of structured information from inherently unstructured biomedical text. This thesis reports the development of four text-mining systems that, by building on each other, has enabled the extraction of information about a large number of published statements in the biomedical literature. The first system, LINNAEUS, enables highly accurate detection ('recogn

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6

Xu, Zhe. "A Sentiment Analysis Model Integrating Multiple Algorithms and Diverse Features." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275400109.

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7

Albqmi, Aisha Rashed M. "Integrating three-way decisions framework with multiple support vector machines for text classification." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235898/7/Aisha_Rashed_Albqmi_Thesis_.pdf.

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Identifying the boundary between relevant and irrelevant objects in text classification is a significant challenge due to the numerous uncertainties in text documents. Most existing binary text classifiers cannot deal effectively with this problem due to the issue of over-fitting. This thesis proposes a three-way decision model for dealing with the uncertain boundary to improve the binary text classification performance by integrating the distinct aspects of three-way decisions theory and the capacities of the Support Vector Machine. The experimental results show that the proposed models outpe

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8

Calli, Cagatay. "Improving Search Result Clustering By Integrating Semantic Information From Wikipedia." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612554/index.pdf.

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Suffix Tree Clustering (STC) is a search result clustering (SRC) algorithm focused on generating overlapping clusters with meaningful labels in linear time. It showed the feasibility of SRC but in time, subsequent studies introduced description-first algorithms that generate better labels and achieve higher precision. Still, STC remained as the fastest SRC algorithm and there appeared studies concerned with different problems of STC. In this thesis, semantic relations between cluster labels and documents are exploited to filter out noisy labels and improve merging phase of STC. Wikipedia is us

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9

Leroy, Gondy A. "Facilitating knowledge discovery by integrating bottom-up and top-down knowledge sources: A text mining approach." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280294.

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This dissertation aims to discover synergistic combinations of top-down (ontologies), interactive (relevance feedback), and bottom-up (machine learning) knowledge encoding techniques for text mining. The strength of machine learning techniques lies in their coverage and efficiency because they can discover new knowledge without human intervention. The output, however, is often imprecise and irrelevant. Human knowledge, top-down or interactively encoded, may remedy this. The research question addressed is if knowledge discovery can become more precise and relevant with hybrid systems. Three dif

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10

Mason, Amanda. "Integrating a focus on form into task-based language teaching : an investigation of four communicative tasks conducted by advanced learners of English using synchronous text-based computer-mediated communications." Thesis, Liverpool John Moores University, 2010. http://researchonline.ljmu.ac.uk/6010/.

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