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Dissertations / Theses on the topic 'An entity'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Samoila, Lavinia Andreea. "Multiple Entity Reconciliation." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187010.

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Living in the age of "Big Data" is both a blessing and a curse. On he one hand, the raw data can be analysed and then used for weather redictions, user recommendations, targeted advertising and more. On he other hand, when data is aggregated from multiple sources, there is no guarantee that each source has stored the data in a standardized or even compatible format to what is required by the application. So there is a need to parse the available data and convert it to the desired form. Here is where the problems start to arise: often the correspondences are not quite so straightforward between

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2

McKinlay, Andrew James. "Modelling entity instantiations." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/4936/.

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The problem of automatically extracting structured information from texts is an important, unsolved problem within the field of Natural Language Processing. The extraction of such information can facilitate activities such as the building of knowledge bases, automatic summarisation and sentiment analysis. A human reader can easily discern the events described in a text, along with the participants and the relationships between them, but using a computer to automatically discover the same information is much more challenging. Particular focus has been given to extracting relations between the e

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3

Hansen, Hugo, and Oliver Öhrström. "Benchmarking and Analysis of Entity Referencing Within Open-Source Entity Component Systems." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20074.

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Runtime performance is essential for real time games, the faster a game can run the more features designers can put into the game to accomplish their vision.A popular architecture for video games is the Entity Component System architecture aimed to improve both object composition and performance. There are many tests for how this architecture performs under its optimal linear execution.This thesis presents a performance comparison of how several popular open-source Entity Component System libraries perform when fetching data from other entities during iteration. An object-oriented test is also

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4

Jara-Valencia, José Luis. "Generic named entity extraction." Thesis, University of York, 2005. http://etheses.whiterose.ac.uk/14071/.

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This thesis proposes and evaluates different ways of performing generic named entity recognition, that is the construction of a system capable of recognising names in free text which is not specific to any particular domain or task. The starting point is an implementation of a well known baseline system which is based on maximum entropy models that utilise lexically-oriented features to recognised names in text. Although this system achieves good levels of performance, both maximum entropy models and lexically-oriented features have their limitations. Three alternative ways in which this syste

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5

Al-Olimat, Hussein S. "Knowledge-Enabled Entity Extraction." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1578100367105233.

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6

Benajiba, Yassine. "Arabic named entity recognition." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/8318.

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En esta tesis doctoral se describen las investigaciones realizadas con el objetivo de determinar las mejores tecnicas para construir un Reconocedor de Entidades Nombradas en Arabe. Tal sistema tendria la habilidad de identificar y clasificar las entidades nombradas que se encuentran en un texto arabe de dominio abierto. La tarea de Reconocimiento de Entidades Nombradas (REN) ayuda a otras tareas de Procesamiento del Lenguaje Natural (por ejemplo, la Recuperacion de Informacion, la Busqueda de Respuestas, la Traduccion Automatica, etc.) a lograr mejores resultados gracias al enriquecimi

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7

Andersson-Säll, Tim. "Transforming Legal Entity Recognition." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447240.

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Transformer-based architectures have in recent years advanced state-of-the-art performance in Natural Language Processing. Researchers have successfully adapted such models to downstream tasks within NLP in a domain-specific setting. This thesis examines the application of these models to the legal domain by doing Named Entity Recognition (NER) in a setting of scarce training data. Three different pre-trained BERT models are fine-tuned on a set of 101 court case documents, whereof one model is pre-trained on legal corpora and the other two on general corpora. Experiments are run to evaluate th

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8

Horlock, James. "Named entity extraction for speech." Thesis, University of Edinburgh, 2005. http://hdl.handle.net/1842/29161.

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Named entity extraction, the task of finding specific entities within documents, has proven of great benefit for numerous information extraction and information retrieval tasks. As well as multiple language evaluations named entity extraction has been investigated on a variety of media forms with varying success. In general, these media forms have all been based upon standard text and assumed that any variation from standard text constitutes noise. We investigate how it is possible to find named entities in speech data. Where others have focussed on applying named entity extraction techniques

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9

McMillan, Marcia J. "Premenstrual depression : a distinct entity?" Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=75425.

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The validity of the Premenstrual Assessment Form (PAF) typological category "Major Depressive Syndrome", as a distinct subtype of premenstrual change, was assessed. The nature of the depression associated with the premenstrual phase was investigated with standardized measures of depression and a test of dysphoric attentional bias derived from Beck's cognitive model of depression. Three subject groups were delineated based on prospective daily ratings: PMD (depression only premenstrually), controls (no depression), and INTD (intermittent depression throughout cycle). The control group did not e

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10

MENEZES, DANIEL SPECHT SILVA. "NAMED ENTITY RECOGNITION FOR PORTUGUESE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35855@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>BOLSA NOTA 10<br>A produção e acesso a quantidades imensas dados é um elemento pervasivo da era da informação. O volume de informação disponível é sem precedentes na história da humanidade e está sobre constante processo de expansão. Uma oportunidade que emerge neste ambiente é o desenvolvimento de aplicações que sejam capazes de estruturar conhecimento contido nesses dados. Neste co

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11

Moilanen, Karo. "Compositional entity-level sentiment analysis." Thesis, University of Oxford, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559817.

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This thesis presents a computational text analysis tool called AFFECTiS (Affect Interpretation/Inference System) which focuses on the task of interpreting natural language text based on its subjective, non-factual, affective properties that go beyond the 'traditional' factual, objective dimensions of meaning that have so far been the main focus of Natural Language Processing and Computational Linguistics. The thesis presents a fully compositional uniform wide-coverage computational model of sentiment in text that builds on a number of fundamental compositional sentiment phenomena and processes

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12

Chen, Ying. "Robust unsupervised named-entity disambiguation." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3303836.

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13

Govind. "Entity-level Event Impact Analytics." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC260/document.

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Notre société est de plus en plus présente sur le Web. En conséquence, une grande partie des événements quotidiens a vocation à être numérisée. Dans ce cadre, le Web contient des descriptions de divers événements du monde réel et provenant du monde entier. L'ampleur de ces événements peut varier, allant de ceux pertinents uniquement localement à ceux qui retiennent l'attention du monde entier. La presse et les médias sociaux permettent d’atteindre une diffusion presque mondiale. L’ensemble de toutes ces données décrivant des événements sociétaux potentiellement complexes ouvre la porte à de no

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14

Bortoli, Stefano. "Knowledge Based Open Entity Matching." Doctoral thesis, Università degli studi di Trento, 2013. https://hdl.handle.net/11572/368858.

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In this work we argue for the definition a knowledge-based entity matching framework for the implementation of a reliable and incrementally scalable solution. Such knowledge base is formed by an ontology and a set of entity matching rules suitable to be applied as a reliable equational theory in the context of the Semantic Web. In particular, we are going to prove that relying on the existence of a set of contextual mappings to ease the semantic heterogeneity characterizing descriptions on the Web, a knowledge-based solution can perform comparably, and sometimes better, than existing solution

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Bortoli, Stefano. "Knowledge Based Open Entity Matching." Doctoral thesis, University of Trento, 2013. http://eprints-phd.biblio.unitn.it/1022/1/Knowledge-Based_Open_Entity_Matching.pdf.

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In this work we argue for the definition a knowledge-based entity matching framework for the implementation of a reliable and incrementally scalable solution. Such knowledge base is formed by an ontology and a set of entity matching rules suitable to be applied as a reliable equational theory in the context of the Semantic Web. In particular, we are going to prove that relying on the existence of a set of contextual mappings to ease the semantic heterogeneity characterizing descriptions on the Web, a knowledge-based solution can perform comparably, and sometimes better, than existing solution

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16

Srinivaasan, Gayathri. "Malicious Entity Categorization using Graph modelling." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-202980.

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Today, malware authors not only write malicious software but also employ obfuscation, polymorphism, packing and endless such evasive techniques to escape detection by Anti-Virus Products (AVP). Besides the individual behavior of malware, the relations that exist among them play an important role for improving malware detection. This work aims to enable malware analysts at F-Secure Labs to explore various such relationships between malicious URLs and file samples in addition to their individual behavior and activity. The current detection methods at F-Secure Labs analyze unknown URLs and file s

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17

Bhattacharya, Indrajit. "Collective entity resolution in relational data." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/4241.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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18

Alotaibi, Fahd Saleh S. "Fine-grained Arabic named entity recognition." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/5970/.

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This thesis addresses the problem of fine-grained NER for Arabic, which poses unique linguistic challenges to NER; such as the absence of capitalisation and short vowels, the complex morphology, and the highly in infection process. Instead of classifying the detected NE phrases into small sets of classes, we target a broader range (i.e. 50 fine-grained classes 'hierarchal-based of two levels') to increase the depth of the semantic knowledge extracted. This has increased the number of classes, complicating the task, when compared with traditional (coarse-grained) NER, because of the increase in

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19

Karamanis, Nikiforos. "Entity coherence for descriptive text structuring." Thesis, University of Edinburgh, 2004. http://hdl.handle.net/1842/315.

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Although entity coherence, i.e. the coherence that arises from certain patterns of references to entities, is of attested importance for characterising a descriptive text structure, whether and how current formal models of entity coherence such as Centering Theory can be used for the purposes of natural language generation remains unclear. This thesis investigates this issue and sets out to explore which of the many formulations of Centering best suits text structuring. In doing this, we assume text structuring to be a search task where different orderings of propositions are evaluated accordi

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20

Middleton, Anthony M. "High-Performance Knowledge-Based Entity Extraction." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/246.

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Human language records most of the information and knowledge produced by organizations and individuals. The machine-based process of analyzing information in natural language form is called natural language processing (NLP). Information extraction (IE) is the process of analyzing machine-readable text and identifying and collecting information about specified types of entities, events, and relationships. Named entity extraction is an area of IE concerned specifically with recognizing and classifying proper names for persons, organizations, and locations from natural language. Extant approaches

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21

Dmytrenko, I. "Intralingual entity of the silence concept." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/39102.

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22

JANAKIRAMAN, KRISHNAMOORTHY. "ENTITY IDENTIFICATION USING DATA MINING TECHNIQUES." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin989852516.

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23

Alex, Adarsh Koruthu. "Identifying Tweets with Implicit Entity Mentions." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1472495677.

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24

Alhelbawy, Ayman. "Collective approaches to named entity disambiguation." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/6891/.

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Internet content has become one of the most important resources of information. Much of this information is in the form of natural language text and one of the important components of natural language text is named entities. So automatic recognition and classification of named entities has attracted researchers for many years. Named entities are mentioned in different textual forms in different documents. Also, the same textual mention may refer to different named entities. This problem is well known in NLP as a disambiguation problem. Named Entity Disambiguation (NED) refers to the task of ma

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25

Wang, Gang Alan. "Entity Matching for Intelligent Information Integration." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/195089.

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Due to the rapid development of information technologies, especially the network technologies, business activities have never been as integrated as they are now. Business decision making often requires gathering information from different sources. This dissertation focuses on the problem of entity matching, associating corresponding information elements within or across information systems. It is devoted to providing complete and accurate information for business decision making. Three challenges have been identified that may affect entity matching performance: feature selection for entity rep

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26

Hao, Shuang. "Email and phone number entity search and ranking." Thesis, Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1019.

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27

Kliegr, Tomáš. "Unsupervised Entity Classification with Wikipedia and WordNet." Doctoral thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-126861.

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This dissertation addresses the problem of classification of entities in text represented by noun phrases. The goal of this thesis is to develop a method for automated classification of entities appearing in datasets consisting of short textual fragments. The emphasis is on unsupervised and semi-supervised methods that will allow for fine-grained character of the assigned classes and require no labeled instances for training. The set of target classes is either user-defined or determined automatically. Our initial attempt to address the entity classification problem is called Semantic Concept

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28

Mendes, Pablo N. "Adaptive Semantic Annotation of Entity and Concept Mentions in Text." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401665504.

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Campana, Luca. "Named Entity Extraction: la piattaforma Gate/Annie." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9576/.

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In questo lavoro si introducono i concetti di base di Natural Language Processing, soffermandosi su Information Extraction e analizzandone gli ambiti applicativi, le attività principali e la differenza rispetto a Information Retrieval. Successivamente si analizza il processo di Named Entity Recognition, focalizzando l’attenzione sulle principali problematiche di annotazione di testi e sui metodi per la valutazione della qualità dell’estrazione di entità. Infine si fornisce una panoramica della piattaforma software open-source di language processing GATE/ANNIE, descrivendone l’architettura e

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Sun, Bowen. "Named entity recognition : Evaluation of Existing Systems." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-11223.

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Nowadays, one subfield of information extraction, Named Entity Recognition, becomes more and more important. It helps machine to recognize proper nouns (entities) in text and associating them with the appropriate types. Common types in NER systems are location, person name, date, address, etc. There are several NER systems in the world. Whats the main core technology of these systems? Which kind of system is better? How to improve this technology in the future? This master thesis will show the basic and detail knowledge about NER.Three existing NER systems will be choose to evaluate in this p

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Andreas, Hall, and Hindrikes Daniel. "Entity Framework 4.0, enutvärdering av ett ORMramverk." Thesis, Högskolan Dalarna, Informatik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5040.

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När man kombinerar ett objektorienterat programmeringsspråk och en relationsdatabas uppstår en del problem för utvecklare eftersom objektorienterade programmeringsspråk och relationsdatabaser har olika fokus, objektorienterade programmeringsspråk fokuserar på att avbilda verkliga objekt och relationsdatabaser fokuserar på data. De problem som uppstår kallas med ett samlingsnamn för object-relational mismatch. Det finns flertalet ramverk för att hantera dessa problem. Ett av dem är Entity Framework.Syftet med detta projekt var att utvärdera hur utvecklare tycker att Entity Framework fungerar fö

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MICKELIN, JOEL. "Named Entity Recognition with Support Vector Machines." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138012.

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This report describes a degree project in Computer Science, the aim of which was to construct a system for Named Entity Recognition in Swedish texts of names of people, locations and organizations, as well as expressions for time. This system was constructed from the part-of-speech tagger Granska and the Support Vector Machine system SVMlin. The completed system was trained to recognize Named Entities by analyzing patterns in training corpora consisting of lists of example words belonging to each category. The system was initially trained to recognize patterns based on individual characters in

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Kolb, Lars. "Effiziente MapReduce-Parallelisierung von Entity Resolution-Workflows." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-157163.

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In den vergangenen Jahren hat das neu entstandene Paradigma Infrastructure as a Service die IT-Welt massiv verändert. Die Bereitstellung von Recheninfrastruktur durch externe Dienstleister bietet die Möglichkeit, bei Bedarf in kurzer Zeit eine große Menge von Rechenleistung, Speicherplatz und Bandbreite ohne Vorabinvestitionen zu akquirieren. Gleichzeitig steigt sowohl die Menge der frei verfügbaren als auch der in Unternehmen zu verwaltenden Daten dramatisch an. Die Notwendigkeit zur effizienten Verwaltung und Auswertung dieser Datenmengen erforderte eine Weiterentwicklung bestehender IT-Tech

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Pershina, Maria. "Graph-based approaches to resolve entity ambiguity." Thesis, New York University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10139524.

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<p> Information extraction is the task of automatically extracting structured information from unstructured or semi-structured machine-readable documents. One of the challenges of Information Extraction is to resolve ambiguity between entities either in a knowledge base or in text documents. There are many variations of this problem and it is known under different names, such as coreference resolution, entity disambiguation, entity linking, entity matching, etc. For example, the task of coreference resolution decides whether two expressions refer to the same entity; entity disambiguation dete

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Wang, Xun. "Entity-Centric Discourse Analysis and Its Applications." Kyoto University, 2017. http://hdl.handle.net/2433/228251.

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Chen, Ying-Ting. "Fishing entity enforcement in high seas fisheries." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/367758/.

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The 1995 UNFSA creates a door for fishing entities’ participation in conservation and management regimes regarding straddling and highly migratory fish stocks through separate RFMOs. However, fishing entities are different from states, leading to some ambiguous circumstances in RFMOs, especially in high seas enforcements. This thesis reviews the concepts of fishing entities and considers fishing entities’ status in international law of the sea and the RFMOs. Then, it considers the role of fishing entity enforcement in high seas with being equivalent to a flag state and non-flag state. This the

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Aljic, Almir, and Theodor Kraft. "Contextualising government reports using Named Entity Recognition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281835.

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The science of making a computer understand text and process it, natural language processing, is a topic of great interest among researchers. This study aims to further that research by comparing the BERT algorithm and classic logistic regression when identifying names of public organizations. The results show that BERT outperforms its competitor in the task from the data which consisted of public state inquiries and reports. Furthermore a literature study was conducted as a way of exploring how a system for NER can be implemented into the management of an organization. The study found that th

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Cheekula, Siva Kumar. "Characterizing Concepts in Taxonomy for Entity Recommendations." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495668638038457.

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Wahlandt, Alex. "Entity resolution (ER) from multiple data sets." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448535.

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Entity resolution (ER) within or between datasets is a challenging problem. In this report, we propose a novel methodology and an algorithm to match entities from a canonical dataset, i.e. the data is correct, complete and accurate, to a non canonical dataset (social media website) where the data may be missing or invalid. The proposed methodology is that we inspect a user's friends in order to determine the user's attributes. We make the assumption that it is easier for a single user on the social media website to display invalid information, than to have multiple friends that also fake their

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Hassan, Mansoor Ahmed. "View integration using the entity-relationship model." Thesis, Aston University, 1989. http://publications.aston.ac.uk/10641/.

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Melichárek, Martin. "Finanční analýza firmy BOHEMIA ENERGY entity s.r.o." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192809.

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The thesis is structurally divided into the first part purely theoretical, where are discussed the most important aspects of financial analysis that are able to comprehensively assess the company through financial and analytical apparatus. The second part is focused on the processing of financial analysis for a particular company BOHEMIA ENERGY entity s.r.o. First are evaluated absolute indicators and ratios complemented by an analysis of working capital and the calculation of EVA. Detailed breakdown of ROE and financial distress prediction models subsequently allow overall view of the company

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Navrátil, Jan. "Suverénní entity - financování, kreditní riziko a rating." Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-207035.

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The echoes of Eurozone debt crisis brought into question the sovereign risk of advanced economies. Understanding factors that influence this risk is key to avoid similar crisis of public debt financing in the future. The main aim of this thesis is to identify which factors influence sovereign entity financing and how the problems of public debt financing arise. This is reached through analysis of debt crisis development and its causes in the GIPS economies.

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Forman, Peter James. "Securing natural gas : entity-attentive security research." Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12139/.

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Natural gas is a troublesome and ‘wayward’ material (Bridge, 2004; 396). Amongst other qualities, it is invisible, intangible, naturally odorless, highly inflammable, and constantly resistant to the forces that contain it. This thesis provides an account of how these qualities both introduce a series of insecurities to everyday social environments, and also make it a challenging material to govern. Specifically, I examine the way that security is performed around gas circulations in the UK’s transmission and distribution pipelines, and I describe how a range of specialized security practices h

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Wu, Christopher James. "SKEWER: Sentiment Knowledge Extraction With Entity Recognition." DigitalCommons@CalPoly, 2016. https://digitalcommons.calpoly.edu/theses/1615.

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The California state legislature introduces approximately 5,000 new bills each legislative session. While the legislative hearings are recorded on video, the recordings are not easily accessible to the public. The lack of official transcripts or summaries also increases the effort required to gain meaningful insight from those recordings. Therefore, the news media and the general population are largely oblivious to what transpires during legislative sessions. Digital Democracy, a project started by the Cal Poly Institute for Advanced Technology and Public Policy, is an online platform created

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Zhang, Yaxi. "Named Entity Recognition for Social Media Text." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395978.

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This thesis aims to perform named entity recognition for English social media texts. Named Entity Recognition (NER) is applied in many NLP tasks as an important preprocessing procedure. Social media texts contain lots of real-time data and therefore serve as a valuable source for information extraction. Nevertheless, NER for social media texts is a rather challenging task due to the noisy context. Traditional approaches to deal with this task use hand-crafted features but prove to be both time-consuming and very task-specific. As a result, they fail to deliver satisfactory performance. The goa

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Flores, Manuela. "On Provable Security of Entity Authentication Schemes." Doctoral thesis, Universita degli studi di Salerno, 2019. http://elea.unisa.it:8080/xmlui/handle/10556/4501.

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2017 - 2018<br>Entity authentication is the process allowing a user, in a distributed system, to gain confidence in the identity of one (or more) communication user. Such a process may be either unilateral (the users are involved in a conversation in which only one of them, called the verifier, gains confidence that it is the other, called the prover, with whom he is speaking) or mutual (both users gain confidence about the identity of the communication partner). Moreover, the users might share some secret information, or might not. A one-message unilateral entity authentication scheme allows

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Abdelhamid, Abdelnaby Moaz Mohammed Reyad. "Provenance in Open Data Entity-Centric Aggregation." Doctoral thesis, University of Trento, 2015. http://eprints-phd.biblio.unitn.it/1454/1/MoazReyad_PhD.pdf.

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An increasing number of web services these days require combining data from several data providers into an aggregated database. Usually this aggregation is based on the linked data approach. On the other hand, the entity-centric model is a promising data model that outperforms the linked data approach because it solves the lack of explicit semantics and the semantic heterogeneity problems. However, current open data which is available on the web as raw datasets can not be used in the entity-centric model before processing them with an import process to extract the data elements and insert them

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Trnovec, Martin. "Ocenenie spoločnosti Autocentrum Olomouc s.r.o." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-192155.

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The focus of this master thesis is to estimate the fair value of the company Autocentrum Olomouc s.r.o., new and used cars dealership, using revenue method DCF Entity. After short introduction, strategic analysis is elaborated to assess revenue potential of the company and to estimate its future market share and future revenues. Conclusions made in strategic and financial analysis, which takes place to assess financial health, will help to verify going concern necessary for choosing revenues based valuation methods. Creating of the value generators follows, what leads to preparing of the finan

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Pilz, Anja [Verfasser]. "Entity Linking to Wikipedia : Grounding entity mentions in natural language text using thematic context distance and collective search / Anja Pilz." Bonn : Universitäts- und Landesbibliothek Bonn, 2016. http://d-nb.info/1096330032/34.

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Veselý, Mikuláš. "Simulace chodu podniku Prádelna Lety." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-81880.

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This diploma thesis deals with the theme simulation models. It is separated to three parts: theoretic, a part describing a simulation program and a practical part. The opening part's role is to introduce to a reader the problem about simulation models, inform him about simulation project building and define some key words. The second part explains a work with simulation program Simprocess. In the third part the reader finds out, how to use theoretic knowledge. It is demonstrated on the simulation of the operations of the company Prádelna Lety. A goal of this part is to make a simulation model,

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