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Dissertations / Theses on the topic 'Text retrieval'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Fan, Huihui. "Text Generation with and without Retrieval." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0164.

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Tous les jours, nous écrivons --- qu'il s'agisse d'envoyer un texte rapide à votre mère ou de rédiger un article scientifique tel que cette thèse. Les logiciels modernes de messagerie instantanée suggèrent souvent le mot à écrire ensuite, les courriers électroniques peuvent être lancés à l'aide d'un autocomposeur et les rédactions sont améliorées grâce à des suggestions de la machine. Ces technologies sont le fruit d'années de recherche sur la génération de texte, un domaine du traitement du langage naturel dont l'objectif est de produire automatiquement un langage naturel fluide et lisible pa

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2

Kay, Roderick Neil. "Text analysis, summarising and retrieval." Thesis, University of Salford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360435.

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3

Lee, Hyo Sook. "Automatic text processing for Korean language free text retrieval." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322916.

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4

Asian, Jelita, and jelitayang@gmail com. "Effective Techniques for Indonesian Text Retrieval." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080110.084651.

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The Web is a vast repository of data, and information on almost any subject can be found with the aid of search engines. Although the Web is international, the majority of research on finding of information has a focus on languages such as English and Chinese. In this thesis, we investigate information retrieval techniques for Indonesian. Although Indonesia is the fourth most populous country in the world, little attention has been given to search of Indonesian documents. Stemming is the process of reducing morphological variants of a word to a common stem form. Previous research has show

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5

Shokouhi, Milad, and milads@microsoft com. "Federated Text Retrieval from Independent Collections." RMIT University. Computer Science and Information Technology, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080521.151632.

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Federated information retrieval is a technique for searching multiple text collections simultaneously. Queries are submitted to a subset of collections that are most likely to return relevant answers. The results returned by selected collections are integrated and merged into a single list. Federated search is preferred over centralized search alternatives in many environments. For example, commercial search engines such as Google cannot index uncrawlable hidden web collections; federated information retrieval systems can search the contents of hidden web collections without crawling. In enter

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6

Nwesri, Abdusalam F. Ahmad, and nwesri@yahoo com. "Effective retrieval techniques for Arabic text." RMIT University. Computer Science and IT, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20081204.163422.

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Arabic is a major international language, spoken in more than 23 countries, and the lingua franca of the Islamic world. The number of Arabic-speaking Internet users has grown over nine-fold in the Middle East between the year 2000 and 2007, yet research in Arabic Information Retrieval (AIR) has not advanced as in other languages such as English. In this thesis, we explore techniques that improve the performance of AIR systems. Stemming is considered one of the most important factors to improve retrieval effectiveness of AIR systems. Most current stemmers remove affixes without

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7

De, Luca Ernesto William. "Semantic support in multilingual text retrieval." Aachen Shaker, 2008. http://d-nb.info/990194914/04.

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8

Viana, Hugo Henrique Amorim. "Automatic information retrieval through text-mining." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11308.

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The dissertation presented for obtaining the Master’s Degree in Electrical Engineering and Computer Science, at Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia<br>Nowadays, around a huge amount of firms in the European Union catalogued as Small and Medium Enterprises (SMEs), employ almost a great portion of the active workforce in Europe. Nonetheless, SMEs cannot afford implementing neither methods nor tools to systematically adapt innovation as a part of their business process. Innovation is the engine to be competitive in the globalized environment, especially in the current

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9

Krishnan, Sharenya. "Text-Based Information Retrieval Using Relevance Feedback." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-53603.

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Europeana, a freely accessible digital library with an idea to make Europe's cultural and scientific heritage available to the public was founded by the European Commission in 2008. The goal was to deliver a semantically enriched digital content with multilingual access to it. Even though they managed to increase the content of data they slowly faced the problem of retrieving information in an unstructured form. So to complement the Europeana portal services, ASSETS (Advanced Search Service and Enhanced Technological Solutions) was introduced with services that sought to improve the usability

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10

Westmacott, Mike. "Content based image retrieval : analogies with text." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423038.

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11

Murad, Masrah Azrifah Azmi. "Fuzzy text mining for intelligent information retrieval." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416830.

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12

Isbell, Charles L. (Charles Lee). "Sparse multi-level representations for text retrieval." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47513.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (p. [153]-160).<br>by Charles Lee Isbell, Junior.<br>Ph.D.

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13

Kyriakides, Alexandros 1977. "Supervised information retrieval for text and images." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28426.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (leaves 73-74).<br>We present a novel approach to choosing an appropriate image for a news story. Our method uses the caption of the image to retrieve a suitable image. We have developed a word-extraction engine called WordEx. WordEx uses supervised learning to predict which words in the text of a news story are likely to be present in the caption of an appropriate image. The words extracted by WordEx are then used to retrieve the image fro

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14

Landrin-Schweitzer, Yann. "Algorithmes génétiques interactifs pour le text-retrieval." Paris 11, 2003. http://www.theses.fr/2003PA112303.

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L'inflation des quantités de documents électroniques, sur internet et dans les intranets d'entreprises a entraîné au cours des années 1990-2000 un important développement des moteurs de recherche textuelle (text-retrieval). Leurs performances actuelles élevées, reposant sur l'emploi d'outils linguistiques et sémantiques très spécialisés, se heurtent à d'ultimes barrières: les particularités individuelles des utilisateurs, et l'important effort qu'ils doivent fournir pour interpréter les informations reçues. Les approches statistiques, reposant sur des modèles cognitifs, ont prouvé leur efficac

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15

Sussna, Michael John. "Text retrieval using inference in semantic metanetworks /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9726031.

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16

Vinay, V. "The relevance of feedback for text retrieval." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1446146/.

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Relevance Feedback is a technique that helps an Information Retrieval system modify a query in response to relevance judgements provided by the user about individual results dis played after an initial retrieval. This thesis begins by proposing an evaluation framework for measuring the effectiveness of feedback algorithms. The simulation-based method in volves a brute force exploration of the outcome of every possible user action. Starting from an initial state, each available alternative is represented as a traversal along one branch of a user decision tree. The use of the framework is illust

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17

Holmes-Higgin, Paul. "Text knowledge : the Quirk Experiments." Thesis, University of Surrey, 1995. http://epubs.surrey.ac.uk/842732/.

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Our research examines text knowledge: the knowledge encoded in text and the knowledge about a text. We approach text knowledge from different perspectives, describing the theories and techniques that have been applied to extracting, representing and deploying this knowledge, and propose some novel techniques that may enhance the understanding of text knowledge. These techniques include the concept of virtual corpus hierarchies, hybrid symbolic and connectionist representation and reasoning, text analysis and self-organising corpora. We present these techniques in a framework that embraces the

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18

Song, Min Song Il-Yeol. "Robust knowledge extraction over large text collections /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/495.

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19

Caviglia, Karen. "Signature file access methodologies for text retrieval : a literature review with additional test cases /." Online version of thesis, 1987. http://hdl.handle.net/1850/10144.

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20

Käter, Thorsten. "Evaluierung des Text-Retrievalsystems "Intelligent Miner for Text" von IBM : eine Studie im Vergleich zur Evaluierung anderer Systeme /." [S.l. : s.n.], 1999. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB8230685.

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21

Estall, Craig. "A study in distributed document retrieval." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328342.

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22

Kim, Eungi. "Implications of Punctuation Mark Normalization on Text Retrieval." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc500160/.

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This research investigated issues related to normalizing punctuation marks from a text retrieval perspective. A punctuated-centric approach was undertaken by exploring changes in meanings, whitespaces, words retrievability, and other issues related to normalizing punctuation marks. To investigate punctuation normalization issues, various frequency counts of punctuation marks and punctuation patterns were conducted using the text drawn from the Gutenberg Project archive and the Usenet Newsgroup archive. A number of useful punctuation mark types that could aid in analyzing punctuation marks w

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23

Zhang, Nan. "TRANSFORM BASED AND SEARCH AWARE TEXT COMPRESSION SCHEMES AND COMPRESSED DOMAIN TEXT RETRIEVAL." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3938.

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In recent times, we have witnessed an unprecedented growth of textual information via the Internet, digital libraries and archival text in many applications. While a good fraction of this information is of transient interest, useful information of archival value will continue to accumulate. We need ways to manage, organize and transport this data from one point to the other on data communications links with limited bandwidth. We must also have means to speedily find the information we need from this huge mass of data. Sometimes, a single site may also contain large collections of data such as

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24

DeLuca, Ernesto W. [Verfasser]. "Semantic Support in Multilingual Text Retrieval / Ernesto W DeLuca." Aachen : Shaker, 2008. http://d-nb.info/1161313745/34.

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De, Luca Ernesto William [Verfasser]. "Semantic Support in Multilingual Text Retrieval / Ernesto W DeLuca." Aachen : Shaker, 2008. http://nbn-resolving.de/urn:nbn:de:101:1-2018061708435800872248.

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26

Brucato, Matteo. "Temporal Information Retrieval." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5690/.

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27

Al, Tayyar Musaid Seleh. "Arabic information retrieval system based on morphological analysis (AIRSMA) : a comparative study of word, stem, root and morpho-semantic methods." Thesis, De Montfort University, 2000. http://hdl.handle.net/2086/4126.

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28

Hou, Jun. "Text mining with semantic annotation : using enriched text representation for entity-oriented retrieval, semantic relation identification and text clustering." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/79206/1/Jun_Hou_Thesis.pdf.

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This project is a step forward in the study of text mining where enhanced text representation with semantic information plays a significant role. It develops effective methods of entity-oriented retrieval, semantic relation identification and text clustering utilizing semantically annotated data. These methods are based on enriched text representation generated by introducing semantic information extracted from Wikipedia into the input text data. The proposed methods are evaluated against several start-of-art benchmarking methods on real-life data-sets. In particular, this thesis improves the

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29

Ball, Liezl Hilde. "Enhancing digital text collections with detailed metadata to improve retrieval." Thesis, University of Pretoria, 2020. http://hdl.handle.net/2263/79015.

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Digital text collections are increasingly important, as they enable researchers to explore new ways of interacting with texts through the use of technology. Various tools have been developed to facilitate exploring and searching in text collections at a fairly low level of granularity. Ideally, it should be possible to filter the results at a greater level of granularity to retrieve only specific instances in which the researcher is interested. The aim of this study was to investigate to what extent detailed metadata could be used to enhance texts in order to improve retrieval. To do this, th

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30

Zhou, Xiaohua Hu Xiaohua. "Semantics-based language models for information retrieval and text mining /." Philadelphia, Pa. : Drexel University, 2008. http://hdl.handle.net/1860/2931.

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31

Mick, Alan A. "Knowledge based text indexing and retrieval utilizing case based reasoning /." Online version of thesis, 1994. http://hdl.handle.net/1850/11715.

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32

Dick, Judith P. "A conceptual, case-relation representation of text for intelligent retrieval." Ottawa : National Library of Canada = Bibliothèque nationale du Canada, 1992. http://books.google.com/books?id=Zh3hAAAAMAAJ.

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33

Greco, Luca. "Text retrieval and categorization through a weighted word pairs approach." Doctoral thesis, Universita degli studi di Salerno, 2013. http://hdl.handle.net/10556/981.

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2011 - 2012<br>The focus of this dissertation is the development and validation of a novel method for supervised text classification to be used effectively when small sized training sets are available. The proposed approach, which relies on a Weighted Word Pairs (WWP) structure, has been validated in two application fields: Query Expansion and Text Categorization. By analyzing the state of the art for supervised text classification, it has been observed that existing methods show a drastic performance decrease when the number of training examples is reduced. This behaviour is essentialy due t

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34

Miller, Daniel. "A System for Natural Language Unmarked Clausal Transformations in Text-to-Text Applications." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/137.

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A system is proposed which separates clauses from complex sentences into simpler stand-alone sentences. This is useful as an initial step on raw text, where the resulting processed text may be fed into text-to-text applications such as Automatic Summarization, Question Answering, and Machine Translation, where complex sentences are difficult to process. Grammatical natural language transformations provide a possible method to simplify complex sentences to enhance the results of text-to-text applications. Using shallow parsing, this system improves the performance of existing systems to ident

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McMurtry, William F. "Information Retrieval for Call Center Quality Assurance." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587036885211228.

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36

Watanabe, Yasuhiko. "Integrated Analysis of Image, Diagram, and Text for Multimedia Document Retrieval." 京都大学 (Kyoto University), 2002. http://hdl.handle.net/2433/149384.

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37

Nag, Chowdhury Sreyasi [Verfasser]. "Text-image synergy for multimodal retrieval and annotation / Sreyasi Nag Chowdhury." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1240674139/34.

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38

Leng, Chun-Wu. "Design and performance evaluation of signature files for text retrieval systems /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487685204967976.

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39

Moreno, José G. "Text-Based Ephemeral Clustering for Web Image Retrieval on Mobile Devices." Caen, 2014. http://www.theses.fr/2014CAEN2036.

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Dans cette thèse, nous présentons une étude sur la visualisation des résultats Web d'images sur les dispositifs nomades. Nos principales conclusions ont été inspirées par les avancées récentes dans deux principaux domaines de recherche – la recherche d'information et le traitement automatique du langage naturel. Tout d’abord, nous avons examiné différents sujets tels que le regroupement des résultats Web, les interfaces mobiles, la fouille des intentions sur une requête, pour n'en nommer que quelques-uns. Ensuite, nous nous sommes concentré sur les mesures d'association lexical, les métriques

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40

Williams, Ken. "A framework for text categorization." Thesis, The University of Sydney, 2003. https://hdl.handle.net/2123/27951.

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The field of automatic Text Categorization (TC) concerns the creation of categorizer functions, usually involving Machine Learning techniques, to assign labels from a pre-defined set of categories to documents based on the documents' content. Because of the many variations on how this can be achieved and the diversity of applications in which it can be employed, creating specific TC applications is often a difficult task. This thesis concerns the design, implementation, and testing of an ObjectOriented Application Framework for Text Categorization. By encoding expertise in the architectu

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41

Larsson, Jimmy. "Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

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With a multitude of images available on the Internet, how do we find what we are looking for? This project tries to determine how much the precision and recall of search queries is improved by using a word taxonomy on traditional Text-Based Image Search and Content-Based Image Search. By applying a word taxonomy to different data sources, a strong keyword filter and a keyword extender were implemented and tested. The results show that depending on the implementation, the precision or the recall can be increased. By using a similar approach on real life implementations, it is possible to force

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42

Martins, Bruno. "Geographically Aware Web Text Mining." Master's thesis, Department of Informatics, University of Lisbon, 2009. http://hdl.handle.net/10451/14301.

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Text mining and search have become important research areas over the past few years, mostly due to the large popularity of the Web. A natural extension for these technologies is the development of methods for exploring the geographic context of Web information. Human information needs often present specific geographic constraints. Many Web documents also refer to speci c locations. However, relatively little e ort has been spent on developing the facilities required for geographic access to unstructured textual information. Geographically aware text mining and search remain relatively unexplor

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43

Katsarona, Stavros. "SCANTRAX - an associative string processor for relational database management and text retrieval." Thesis, Brunel University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292397.

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44

Dunning, Ted Emerson. "Finding structure in text, genome and other symbolic sequences." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310811.

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45

Tursun, Osman. "Missing ingredients in optimising large-scale image retrieval with deep features." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/227803/1/Osman_Tursun_Thesis.pdf.

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This thesis applies advanced image processing and deep machine learning techniques to solve the challenges of large-scale image retrieval. Solutions are provided to overcome key obstacles in real-world large-scale image retrieval applications by introducing unique methods for making deep learning systems more reliable and efficient. The outcome of the research is useful for several image retrieval applications including patent search, and trademark and logo infringement analysis.

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46

Leidner, Jochen Lothar. "Toponym resolution in text." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/1849.

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Background. In the area of Geographic Information Systems (GIS), a shared discipline between informatics and geography, the term geo-parsing is used to describe the process of identifying names in text, which in computational linguistics is known as named entity recognition and classification (NERC). The term geo-coding is used for the task of mapping from implicitly geo-referenced datasets (such as structured address records) to explicitly geo-referenced representations (e.g., using latitude and longitude). However, present-day GIS systems provide no automatic geo-coding functionality for uns

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Albathan, Mubarak Murdi M. "Enhancement of relevant features for text mining." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/90072/1/Mubarak%20Murdi%20M_Albathan_Thesis.pdf.

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With the explosion of information resources, there is an imminent need to understand interesting text features or topics in massive text information. This thesis proposes a theoretical model to accurately weight specific text features, such as patterns and n-grams. The proposed model achieves impressive performance in two data collections, Reuters Corpus Volume 1 (RCV1) and Reuters 21578.

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Alsaad, Amal. "Enhanced root extraction and document classification algorithm for Arabic text." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13510.

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Many text extraction and classification systems have been developed for English and other international languages; most of the languages are based on Roman letters. However, Arabic language is one of the difficult languages which have special rules and morphology. Not many systems have been developed for Arabic text categorization. Arabic language is one of the Semitic languages with morphology that is more complicated than English. Due to its complex morphology, there is a need for pre-processing routines to extract the roots of the words then classify them according to the group of acts or m

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Lu, Zhiyong. "Text mining on GeneRIFs /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in ) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 174-182). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;

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Arazy, Ofer. "Artificial semantics in text retrieval." Thesis, 2004. http://hdl.handle.net/2429/16068.

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The increase in the amounts of available information, coupled with the rising importance of information for planning and decision making purposes, stress the need for effective information retrieval (IR) techniques. Specifically, we are interested in the retrieval of textual information from general - i.e. large and heterogeneous - collections. One of the most critical problems impeding the performance of retrieval systems is the gap between the way in which people think about information (though semantic representations) and the natural language form of textual documents. Bridging this

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