Дисертації з теми "Automated information extraction"
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Bowden, Paul Richard. "Automated knowledge extraction from text." Thesis, Nottingham Trent University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298900.
Повний текст джерелаWang, Wei. "Automated spatiotemporal and semantic information extraction for hazards." Diss., University of Iowa, 2014. https://ir.uiowa.edu/etd/1415.
Повний текст джерелаHeckemann, Rolf Andreas. "Automated information extraction from images of the human brain." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444549.
Повний текст джерелаMalki, Khalil. "Automated Knowledge Extraction from Archival Documents." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2019. http://digitalcommons.auctr.edu/cauetds/204.
Повний текст джерелаOrtona, Stefano. "Easing information extraction on the web through automated rules discovery." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:a5a7a070-338a-4afc-8be5-a38b486cf526.
Повний текст джерелаAdemi, Muhamet. "adXtractor – Automated and Adaptive Generation of Wrappers for Information Retrieval." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20071.
Повний текст джерелаXhemali, Daniela. "Automated retrieval and extraction of training course information from unstructured web pages." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/7022.
Повний текст джерелаHedbrant, Per. "Towards a fully automated extraction and interpretation of tabular data using machine learning." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-391490.
Повний текст джерелаSahar, Liora. "Using remote-sensing and gis technology for automated building extraction." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37231.
Повний текст джерелаNepal, Madhav Prasad. "Automated extraction and querying of construction-specific design features from a building information model." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/38046.
Повний текст джерелаSlabber, Frans Bresler. "Semi-automated extraction of structural orientation data from aerospace imagery combined with digital elevation models." Thesis, Rhodes University, 1996. http://hdl.handle.net/10962/d1005614.
Повний текст джерелаKim, Kee-Tae. "Satellite mapping and automated feature extraction: geographic information system-based change detection of the Antarctic coast." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1072898409.
Повний текст джерелаKim, Kee-Tae. "Satellite mapping and automated feature extraction geographic information system-based change detection of the Antarctic coast /." Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1072898409.
Повний текст джерелаTitle from first page of PDF file. Document formatted into pages; contains xiv, 157 p.; also includes graphics. Includes bibliographical references (p. 143-148).
Cleve, Oscar, and Sara Gustafsson. "Automatic Feature Extraction for Human Activity Recognitionon the Edge." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260247.
Повний текст джерелаDenna studie utvärderar två metoder som automatiskt extraherar features för att klassificera accelerometerdata från periodiska och sporadiska mänskliga aktiviteter. Den första metoden väljer features genom att använda individuella hypotestester och den andra metoden använder en random forest-klassificerare som en inbäddad feature-väljare. Hypotestestmetoden kombinerades med ett korrelationsfilter i denna studie. Båda metoderna använde samma initiala samling av automatiskt genererade features. En decision tree-klassificerare användes för att utföra klassificeringen av de mänskliga aktiviteterna för båda metoderna. Möjligheten att använda den slutliga modellen på en processor med begränsad hårdvarukapacitet togs i beaktning då studiens metoder valdes. Klassificeringsresultaten visade att random forest-metoden hade god förmåga att prioritera bland features. Med 23 utvalda features erhölls ett makromedelvärde av F1 score på 0,84 och ett viktat medelvärde av F1 score på 0,93. Hypotestestmetoden resulterade i ett makromedelvärde av F1 score på 0,40 och ett viktat medelvärde av F1 score på 0,63 då lika många features valdes ut. Utöver resultat kopplade till klassificeringsproblemet undersöker denna studie även potentiella affärsmässiga fördelar kopplade till automatisk extrahering av features.
Li, Yang [Verfasser], Gunter [Gutachter] Saake, and Andreas [Gutachter] Nürnberger. "Automated extraction of feature and variability information from natural language requirement specifications / Yang Li ; Gutachter: Gunter Saake, Andreas Nürnberger." Magdeburg : Universitätsbibliothek Otto-von-Guericke-Universität, 2020. http://d-nb.info/1226932002/34.
Повний текст джерелаTate, Calandra Rilette. "An investigation of the relationship between automated machine translation evaluation metrics and user performance on an information extraction task." College Park, Md.: University of Maryland, 2007. http://hdl.handle.net/1903/7777.
Повний текст джерелаThesis research directed by: Applied Mathematics Program . Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Mao, Jin, Lisa R. Moore, Carrine E. Blank, Elvis Hsin-Hui Wu, Marcia Ackerman, Sonali Ranade, and Hong Cui. "Microbial phenomics information extractor (MicroPIE): a natural language processing tool for the automated acquisition of prokaryotic phenotypic characters from text sources." BIOMED CENTRAL LTD, 2016. http://hdl.handle.net/10150/622562.
Повний текст джерелаDeshpande, Sagar Shriram. "Semi-automated Methods to Create a Hydro-flattened DEM using Single Photon and Linear Mode LiDAR Points." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1491300120665946.
Повний текст джерелаWächter, Thomas. "Semi-automated Ontology Generation for Biocuration and Semantic Search." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-64838.
Повний текст джерелаMunnecom, Lorenna, and Miguel Chaves de Lemos Pacheco. "Exploration of an Automated Motivation Letter Scoring System to Emulate Human Judgement." Thesis, Högskolan Dalarna, Mikrodataanalys, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34563.
Повний текст джерелаCollier, Robin. "Automatic template creation for information extraction." Thesis, University of Sheffield, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286986.
Повний текст джерелаJoseph, Daniel. "Linking information resources with automatic semantic extraction." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/linking-information-resources-with-automatic-semantic-extraction(ada2db36-4366-441a-a0a9-d76324a77e2c).html.
Повний текст джерелаJimeno, Yepes Antonio José. "Ontology refinement for improved information retrieval in the biomedical domain." Doctoral thesis, Universitat Jaume I, 2009. http://hdl.handle.net/10803/384552.
Повний текст джерелаBarry, Ousmane. "Semi-Automatic Extraction of Information from Satellite Images." Thesis, KTH, Ljud- och bildbehandling, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-55351.
Повний текст джерелаdel, Aguila Pla Pol. "Normalization of Remote Sensing Imagery for Automatic Information Extraction." Thesis, KTH, Kommunikationsteori, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-144032.
Повний текст джерелаHarte, Christopher. "Towards automatic extraction of harmony information from music signals." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/534.
Повний текст джерелаMason, Oliver Jan. "The automatic extraction of linguistic information from text corpora." Thesis, University of Birmingham, 2006. http://etheses.bham.ac.uk//id/eprint/116/.
Повний текст джерелаPalmer, David Donald. "Modeling uncertainty for information extraction from speech data /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/5834.
Повний текст джерелаFrunza, Oana Magdalena. "Personalized Medicine through Automatic Extraction of Information from Medical Texts." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22724.
Повний текст джерелаChen, Hsinchun, Joanne Martinez, Amy Kirchhoff, Tobun Dorbin Ng, and Bruce R. Schatz. "Alleviating Search Uncertainty through Concept Associations: Automatic Indexing, Co-Occurrence Analysis, and Parallel Computing." Wiley Periodicals, Inc, 1998. http://hdl.handle.net/10150/106252.
Повний текст джерелаIn this article, we report research on an algorithmic approach to alleviating search uncertainty in a large information space. Grounded on object filtering, automatic indexing, and co-occurrence analysis, we performed a large-scale experiment using a parallel supercomputer (SGI Power Challenge) to analyze 400,000/ abstracts in an INSPEC computer engineering collection. Two system-generated thesauri, one based on a combined object filtering and automatic indexing method, and the other based on automatic indexing only, were compared with the human-generated INSPEC subject thesaurus. Our user evaluation revealed that the system-generated thesauri were better than the INSPEC thesaurus in concept recall, but in concept precision the 3 thesauri were comparable. Our analysis also revealed that the terms suggested by the 3 thesauri were complementary and could be used to significantly increase â â varietyâ â in search terms and thereby reduce search uncertainty.
Gorinski, Philip John. "Automatic movie analysis and summarisation." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31053.
Повний текст джерелаAslam, Irfan. "Semantic frame based automatic extraction of typological information from descriptive grammars." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17893.
Повний текст джерелаHohm, Joseph Brandon 1982. "Automatic classification of documents with an in-depth analysis of information extraction and automatic summarization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/29415.
Повний текст джерелаIncludes bibliographical references (leaves 78-80).
Today, annual information fabrication per capita exceeds two hundred and fifty megabytes. As the amount of data increases, classification and retrieval methods become more necessary to find relevant information. This thesis describes a .Net application (named I-Document) that establishes an automatic classification scheme in a peer-to-peer environment that allows free sharing of academic, business, and personal documents. A Web service architecture for metadata extraction, Information Extraction, Information Retrieval, and text summarization is depicted. Specific details regarding the coding process, competition, business model, and technology employed in the project are also discussed.
by Joseph Brandon Hohm.
M.Eng.
Lipani, Aldo. "Query rewriting in information retrieval: automatic context extraction from local user documents to improve query results." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/4528/.
Повний текст джерелаConstantin, Alexandru. "Automatic structure and keyphrase analysis of scientific publications." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/automatic-structure-and-keyphrase-analysis-of-scientific-publications(2cfe0b83-5cbb-4305-942c-031945437056).html.
Повний текст джерелаTurroni, Francesco <1983>. "Fingerprint Recognition: Enhancement, Feature Extraction and Automatic Evaluation of Algorithms." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4378/.
Повний текст джерелаOu, Shiyan, Christopher S. G. Khoo, and Dion H. Goh. "Automatic multi-document summarization for digital libraries." School of Communication & Information, Nanyang Technological University, 2006. http://hdl.handle.net/10150/106042.
Повний текст джерелаWang, Yadong. "Represensting signals using only timing information and feature extraction for automatic speech recognition /." View online ; access limited to URI, 2003. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3115640.
Повний текст джерелаSobania, A. S. "The automatic extraction of 3D information from stereoscopic dual-energy X-ray images." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271786.
Повний текст джерелаWoodbury, Charla Jean. "Automatic Extraction From and Reasoning About Genealogical Records: A Prototype." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2335.
Повний текст джерелаEl-Harby, Ahmed Ahmed Abd El-Fattah. "Automatic extraction of vector representations of line features from remotely sensed images." Thesis, Keele University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.344096.
Повний текст джерелаJin, Xiaoying. "Automatic extraction of man-made objects from high-resolution satellite imagery by information fusion." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/5816.
Повний текст джерелаThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (November 15, 2006) Vita. Includes bibliographical references.
Siau, Nor Zainah. "A teachable semi-automatic web information extraction system based on evolved regular expression patterns." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/14687.
Повний текст джерелаQuirchmayr, Thomas [Verfasser], and Barbara [Akademischer Betreuer] Paech. "Retrospective Semi-automated Software Feature Extraction from Natural Language User Manuals / Thomas Quirchmayr ; Betreuer: Barbara Paech." Heidelberg : Universitätsbibliothek Heidelberg, 2018. http://d-nb.info/1177149354/34.
Повний текст джерелаKucuk, Dilek. "Exploiting Information Extraction Techniques For Automatic Semantic Annotation And Retrieval Of News Videos In Turkish." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613043/index.pdf.
Повний текст джерелаWang, Guiwei. "Automatic information extraction and prediction of karst rocky desertification in Puding using remote sensing data." Thesis, Högskolan i Gävle, Samhällsbyggnad, GIS, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-23988.
Повний текст джерелаJohansson, Elias. "Separation and Extraction of Valuable Information From Digital Receipts Using Google Cloud Vision OCR." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88602.
Повний текст джерелаMoncla, Ludovic. "Automatic Reconstruction of Itineraries from Descriptive Texts." Thesis, Pau, 2015. http://www.theses.fr/2015PAUU3029/document.
Повний текст джерелаThis PhD thesis is part of the research project PERDIDO, which aims at extracting and retrieving displacements from textual documents. This work was conducted in collaboration with the LIUPPA laboratory of the university of Pau (France), the IAAA team of the university of Zaragoza (Spain) and the COGIT laboratory of IGN (France). The objective of this PhD is to propose a method for establishing a processing chain to support the geoparsing and geocoding of text documents describing events strongly linked with space. We propose an approach for the automatic geocoding of itineraries described in natural language. Our proposal is divided into two main tasks. The first task aims at identifying and extracting information describing the itinerary in texts such as spatial named entities and expressions of displacement or perception. The second task deal with the reconstruction of the itinerary. Our proposal combines local information extracted using natural language processing and physical features extracted from external geographical sources such as gazetteers or datasets providing digital elevation models. The geoparsing part is a Natural Language Processing approach which combines the use of part of speech and syntactico-semantic combined patterns (cascade of transducers) for the annotation of spatial named entities and expressions of displacement or perception. The main contribution in the first task of our approach is the toponym disambiguation which represents an important issue in Geographical Information Retrieval (GIR). We propose an unsupervised geocoding algorithm that takes profit of clustering techniques to provide a solution for disambiguating the toponyms found in gazetteers, and at the same time estimating the spatial footprint of those other fine-grain toponyms not found in gazetteers. We propose a generic graph-based model for the automatic reconstruction of itineraries from texts, where each vertex represents a location and each edge represents a path between locations. %, combining information extracted from texts and information extracted from geographical databases. Our model is original in that in addition to taking into account the classic elements (paths and waypoints), it allows to represent the other elements describing an itinerary, such as features seen or mentioned as landmarks. To build automatically this graph-based representation of the itinerary, our approach computes an informed spanning tree on a weighted graph. Each edge of the initial graph is weighted using a multi-criteria analysis approach combining qualitative and quantitative criteria. Criteria are based on information extracted from the text and information extracted from geographical sources. For instance, we compare information given in the text such as spatial relations describing orientation (e.g., going south) with the geographical coordinates of locations found in gazetteers. Finally, according to the definition of an itinerary and the information used in natural language to describe itineraries, we propose a markup langugage for encoding spatial and motion information based on the Text Encoding and Interchange guidelines (TEI) which defines a standard for the representation of texts in digital form. Additionally, the rationale of the proposed approach has been verified with a set of experiments on a corpus of multilingual hiking descriptions (French, Spanish and Italian)
Afzal, Naveed. "Unsupervised relation extraction for e-learning applications." Thesis, University of Wolverhampton, 2011. http://hdl.handle.net/2436/299064.
Повний текст джерелаNyström, Stefan. "Evaluation of a New Method for Extraction of Drift-Stable Information from Electronic Tongue Measurements." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1615.
Повний текст джерелаThis thesis is a part of a project where a new method, the base descriptor approach, is studied. The purpose of this method is to reduce drift and extract vital information from electronic tongue measurements. Reference solutions, called descriptors, are measured and the measurements are used to find base descriptors. A base descriptor is, in this thesis, a regression vector for prediction of the property that the descriptor represent. The property is in this case the concentration of a chemical substance in the descriptor solution. Measurements from test samples, in this case fruit juices, are projected onto the base descriptors to extract vital and drift-stable information from the test samples.
The base descriptors are used to determine the concentrations of the descriptors'chemical substances in the juices and thereby also to classify the different juices. It is assumed that the measurements of samples of juices and descriptors drift the same way. This assumption has to be true in order for the base descriptor approach to work. The base descriptors are calculated by multivariate regression methods like partial least squares regression (PLSR) and principal component regression (PCR).
Only two of the descriptors tested in this thesis worked as basis for base descriptors. The base descriptors'predictions of the concentrations of chemical substances in the juices are hard to evaluate since the true concentrations are unknown. Comparing the projections of juice measurements onto the base descriptors with a classification model on the juice measurements performed by principal component analysis (PCA), there is no significant difference in drift of the juice measurements in the results of the two methods. The base descriptors, however, separates the juices for classification somewhat better than the classification of juices performed by PCA.