Teses / dissertações sobre o tema "Toric domains"
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Dardennes, Julien. "Non-convexité symplectique des domaines toriques". Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSES102.
Texto completo da fonteConvexity plays a special role in symplectic geometry, but it is not a notion that is invariant by symplectomorphism. In a seminal work, Hofer, Wysocki and Zehnder showed that any strongly convex domain is dynamically convex, a notion that is invariant by symplectomorphism. For more than twenty years, the existence or not of dynamically convex domains that are not symplectomorphic to a convex domain has remained an open question. Recently, Chaidez and Edtmair answered this question in dimension 4. They established a "quantitative" criterion of symplectic convexity and constructed dynamically convex domains that do not satisfy this criterion. In this thesis, we use this criterion to construct new examples of such domains in dimension 4, which have the additional property of being toric. Moreover, we estimate the constants involved in this criterion. This work in collaboration with Jean Gutt and Jun Zhang was later used by Chaidez and Edtmair to solve the initial question in all dimensions. Furthermore, in collaboration with Jean Gutt, Vinicius G.B.Ramos and Jun Zhang, we study the distance from dynamically convex domains to symplectically convex domains. We show that in dimension 4, this distance is arbitrarily large with respect to a symplectic analogue of the Banach-Mazur distance. Additionally, we independently reprove the existence of dynamically convex domains that are not symplectically convex in dimension 4
Yang, Li. "Improving Topic Tracking with Domain Chaining". Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4274/.
Texto completo da fonteAhn, Kisuh. "Topic indexing and retrieval for open domain factoid question answering". Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3794.
Texto completo da fonteSelcuk, Dogan Gonca Hulya. "Expert Finding In Domains With Unclear Topics". Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614259/index.pdf.
Texto completo da fonteB
Lane, Ian Richard. "Flexible spoken language understanding based on topic classification and domain detection". 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/143888.
Texto completo da fonteArbogast, Matthew S. "Egos Gone Wild: Threat Detection and the Domains Indicative of Toxic Leadership". Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7664.
Texto completo da fonteZhang, Tong. "A topic model-based approach for ontology extension in the computational materials science domain". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172281.
Texto completo da fonteNetterberg, Max, e Simon Wahlström. "Design and training of a recommendersystem on an educational domain using Topic & Term-Frequency modeling". Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445986.
Texto completo da fonteEllouze, Nebrasse. "Approche de recherche intelligente fondée sur le modèle des Topic Maps : application au domaine de la construction durable". Phd thesis, Conservatoire national des arts et metiers - CNAM, 2010. http://tel.archives-ouvertes.fr/tel-00555929.
Texto completo da fonteEllouze, Nebrasse. "Approche de recherche intelligente fondée sur le modèle des Topic Maps : application au domaine de la construction durable". Electronic Thesis or Diss., Paris, CNAM, 2010. http://www.theses.fr/2010CNAM0736.
Texto completo da fonteThe research work in this thesis is related to Topic Map construction and their use in semantic annotation of web resources in order to help users find relevant information in these resources. The amount of information sources available today is very huge and continuously increasing, for that, it is impossible to create and maintain manually a Topic Map to represent and organize all these information. Many Topic Maps building approaches can be found in the literature [Ellouze et al. 2008a]. However, none of these approaches takes as input multilingual document content. In addition, although Topic Maps are basically dedicated to users navigation and information search, no one approach takes into consideration users requests in the Topic Map building process. In this context, we have proposed ACTOM, a Topic Map building approach based on an automated process taking into account multilingual documents and Topic Map evolution according to content and usage changes. To enrich the Topic Map, we are based on a domain thesaurus and we propose also to explore all potential questions related to source documents in order to represent usage in the Topic Map. In our approach, we extend the Topic Map model that already exists by defining the usage links and a list of meta-properties associated to each Topic, these meta-properties are used in the Topic Map pruning process. In our approach ACTOM, we propose also to precise and enrich semantics of Topic Map links so, except occurrences links between Topics and resources, we classify Topic Map links in two different classes, those that we have called “ontological links” and those that we have named “usage links”
Leshi, Olumide. "An Approach to Extending Ontologies in the Nanomaterials Domain". Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170255.
Texto completo da fonteHerner, William, e Edward Leiman. "How does toxicity change depending on rank in League of Legends?" Thesis, Uppsala universitet, Institutionen för speldesign, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389338.
Texto completo da fonteSyftet med detta examensarbete är att undersöka förekomsten av toxiska yttranden i tre olika ranger i League of Legends: Brons, Guld och Diamant. Målet är att försöka förstå hur toxiska yttranden spelarna emellan ändras beroende på rang. För att kunna definiera och räkna toxiska yttranden användes ett ramverk som utformats av Neto, Alvino och Becker (2018). Som metod för insamlingen av data från de tre olika rangerna användes deltagarobservationer. Femton matcher spelades i var och en av rangerna Brons, Guld och Diamant. Varje match spelades in, transkriberades och analyserades och de toxiska yttrandena delades upp i Neto och Beckers olika kategorier. Utifrån studien kan slutsatsen dras att domänspråk är oftare använt av spelare i högre ranger och att domänspråk är kopplat till slang inom spel som kräver tidigare kunskap i spelet för att förstå. I motsats till detta använder spelare i lägre ranger mer basala klagomål och förolämpningar när toxiska yttranden riktas mot andra spelare.
Levy-Minzie, Kori. "Authorship attribution in the e-mail domain a study of the effect of size of author corpus and topic on accuracy of identification". Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5780.
Texto completo da fonteWe determined that it is possible to achieve authorship attribution in the e-mail domain when training on "ersonal" e-mails and testing on "work" e-mails and vice versa. These results are unique since they simulate two different e-mail addresses belonging to the same person where the topic of the e-mails from the two different addresses do not intersect. As we only used one classification technique, these results are preliminary and may serve as a baseline for future work in this area. The corpus of data was the entirety of the Enron corpus as well as a subsection of hand-annotated work and personal e-mails. We discovered that there is enough author signal in each class to identify an author in a sea of noise. We included suggestions for future work in the areas of expanding feature selection, increasing corpus size, and including more classification methods. Advancement in this area will contribute to increasing cyber security by identifying the senders of anonymous derogatory e-mails and reducing cyber bullying.
Bäckström, Nils, Hanna Egeman e Hanna Mattsson. "Why do companies produce vegan and vegetarian products imitated with real meat products? : Exploring a virgin topic on the Swedish market". Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-40016.
Texto completo da fonteMarinone, Emilio. "Evaluation of New Features for Extractive Summarization of Meeting Transcripts : Improvement of meeting summarization based on functional segmentation, introducing topic model, named entities and domain specific frequency measure". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-249560.
Texto completo da fonteAutomatgenererade textsammanfattningar av mötestranskript har varit ett allmänt studerat område de senaste två decennierna där resultatet varit ständiga förbättringar mätt mot standardsammanfattningsvärdet (ROUGE). En studie visar att människor märkbart föredrar abstraherade sammanfattningar gentemot omfattande sammanfattningar. En informativ och flytande textsammanfattning förlitar sig däremot mycket på informationsextraheringsmetoden som används. I det har arbetet presenteras grundläggande koncept som är användbara för att förstå textsammanfattningar så som: Parts-of-Speech (POS), Named Entity Recognition (NER), frekvens och likhetsvärden, och ämnesmodeller. Även en bred litterär analys ingår i arbetet. Den föreslagna metoden tar inspiration från de nuvarande främsta omfattande metoderna och introducerar nya egenskaper som förbättrar referensmodellen. Det är helt oövervakat och baseras på funktionell segmentering vilket betyder att den i först fallet försöker dela upp den förbehandlade källtexten i monologer och dialoger. Därefter används två metoder for att extrahera de mest betydelsefulla meningarna ur varje segment vilkas sammanbindning, tillsammans med redundansminskning, bildar den slutliga textsammanfattningen. Resultaten visar att en ämnesmodell, tränad på ett omfattande korpus med viss variation i de föreslagna parametrarna och med ordmärkning i åtanke, förbättrar prestandan mot ROUGE, precision, Recall och F-matning. Den överträffar den nuvarande bästa Rouge-1 precision och F-matning. En subjektiv utvärdering av de genererade textsammanfattningarna visar att det nuvarande, oövervakade ramverket inte är exakt nog for kommersiellt bruk än men att de nyintroducerade egenskaperna kan hjälpa oövervakade metoder uppnå acceptabla resultat. En mycket större, icke artificiellt skapad, datamängd bestående utav textsammanfattningar av möten krävs för att träna de övervakade, metoderna så väl som en mer noggrann utvärdering av de utvalda algoritmerna. Nya och existerande sammanfattningsmetoder kan appliceras på meningar extraherade ur den föreslagna metoden.
Désoyer, Adèle. "Appariement de contenus textuels dans le domaine de la presse en ligne : développement et adaptation d'un système de recherche d'information". Thesis, Paris 10, 2017. http://www.theses.fr/2017PA100119/document.
Texto completo da fonteThe goal of this thesis, conducted within an industrial framework, is to pair textual media content. Specifically, the aim is to pair on-line news articles to relevant videos for which we have a textual description. The main issue is then a matter of textual analysis, no image or spoken language analysis was undertaken in the present study. The question that arises is how to compare these particular objects, the texts, and also what criteria to use in order to estimate their degree of similarity. We consider that one of these criteria is the topic similarity of their content, in other words, the fact that two documents have to deal with the same topic to form a relevant pair. This problem fall within the field of information retrieval (ir) which is the main strategy called upon in this research. Furthermore, when dealing with news content, the time dimension is of prime importance. To address this aspect, the field of topic detection and tracking (tdt) will also be explored.The pairing system developed in this thesis distinguishes different steps which complement one another. In the first step, the system uses natural language processing (nlp) methods to index both articles and videos, in order to overcome the traditionnal bag-of-words representation of texts. In the second step, two scores are calculated for an article-video pair: the first one reflects their topical similarity and is based on a vector space model; the second one expresses their proximity in time, based on an empirical function. At the end of the algorithm, a classification model learned from manually annotated document pairs is used to rank the results.Evaluation of the system's performances raised some further questions in this doctoral research. The constraints imposed both by the data and the specific need of the partner company led us to adapt the evaluation protocol traditionnal used in ir, namely the cranfield paradigm. We therefore propose an alternative solution for evaluating the system that takes all our constraints into account
Bose, Tulika. "Transfer learning for abusive language detection". Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0019.
Texto completo da fonteThe proliferation of social media, despite its multitude of benefits, has led to the increased spread of abusive language. Such language, being typically hurtful, toxic, or prejudiced against individuals or groups, requires timely detection and moderation by online platforms. Deep learning models for detecting abusive language have displayed great levels of in-corpus performance but underperform substantially outside the training distribution. Moreover, they require a considerable amount of expensive labeled data for training.This strongly encourages the effective transfer of knowledge from the existing annotated abusive language resources that may have different distributions to low-resource corpora. This thesis studies the problem of transfer learning for abusive language detection and explores various solutions to improve knowledge transfer in cross-corpus scenarios.First, we analyze the cross-corpus generalizability of abusive language detection models without accessing the target during training. We investigate if combining topic model representations with contextual representations can improve generalizability. The association of unseen target comments with abusive language topics in the training corpus is shown to provide complementary information for a better cross-corpus transfer.Secondly, we explore Unsupervised Domain Adaptation (UDA), a type of transductive transfer learning, with access to the unlabeled target corpus. Some popular UDA approaches from sentiment classification are analyzed for cross-corpus abusive language detection. We further adapt a BERT model variant to the unlabeled target using the Masked Language Model (MLM) objective. While the latter improves the cross-corpus performance, the other UDA methods perform sub-optimally. Our analysis reveals their limitations and emphasizes the need for effective adaptation methods suited to this task.As our third contribution, we propose two DA approaches using feature attributions, which are post-hoc model explanations. Particularly, the problem of spurious corpus-specific correlations is studied that restrict the generalizability of classifiers for detecting hate speech, a sub-category of abusive language. While the previous approaches rely on a manually curated list of terms, we automatically extract and penalize the terms causing spurious correlations. Our dynamic approaches improve the cross-corpus performanceover previous works both independently and in combination with pre-defined dictionaries.Finally, we consider transferring knowledge from a resource-rich source to a low-resource target with fewer labeled instances, across different online platforms. A novel training strategy is proposed, which allows flexible modeling of the relative proximity of neighbors retrieved from the resource-rich corpus to learn the amount of transfer. We incorporate neighborhood information with Optimal Transport that permits exploitingthe embedding space geometry. By aligning the joint embedding and label distributions of neighbors, substantial improvements are obtained in low-resource hate speech corpora
Das, Manirupa. "Neural Methods Towards Concept Discovery from Text via Knowledge Transfer". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274.
Texto completo da fonteLee, Sanghoon. "Multi Domain Semantic Information Retrieval Based on Topic Model". 2016. http://scholarworks.gsu.edu/cs_diss/104.
Texto completo da fonteLin, Shunn-der, e 林順得. "A Planning Study Of Applying Topic Maps on Engineering Management Domain-Construction Management". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/h6guk3.
Texto completo da fonte國立臺灣科技大學
機械工程系
94
The domain knowledge applied in a new engineering project is quite extensive. The execution quality and management of the engineering would give significant effects to the success of the whole project plan. Under the professional disciplines,the knowlege workers in every relevant organ's units produce indepentently diverse ocuements to meet the project management needs. In fact, all of these docuements are interelated with others in different departments. Most of critical points revealed in these project exection are aimed at the control effectivity, project progress, quality,the state of execution. Poor qualities of the communication channels and weak connections between porject files among working partners may turn in the undertaker's burden and task faults. Enabling work together efficitively in mangagement of the engineering documents and tasks connectivities beomes the important subjects. This research work is inspired by the success stories built on the Stanford's Protege project and TMtab plugin toolkits, a great Ontology framework to construct shareable knowledge skelton. Topic maps(TM), represented by ISO/IEC 13250:1999(and 2002) standard, describe what an information set is about, by formally declaring topics and associations, and by linking the relevant parts of the information set to the appropriate topics. Topic Maps can help organize and retrieve online information in a way that it can be mastered by information owners and information users. Our work make carefully a TAO (Topic-Association-Occurrenc) model to simulate most of the project management ativities, including document classifications and man-and-task relationships. Finally, a XTM-based website built under OKS(Ontopia Knowledge Suite), an ontology-driven editor environment,is presented in visual way to demostrate the power of topic-maps applied to engineering management domain.
Jian, Ciao-Ting, e 簡巧婷. "Online Movie Recommendation Approach based on Collaborative Topic Modeling and Cross-Domain Analysis". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/atphhc.
Texto completo da fonte國立交通大學
資訊管理研究所
105
With the rapid development of the Internet and the rise of new types of news websites with e-commerce portals, more and more users obtain specific topics online information. Successfully information recommendation to users by analyzing users’ browsing behaviors and preferences in the web-based platform can attract more users and enhance the information flow of platform, which is an important trend of the current online worlds. However, information provided by news websites is exploding and becoming more complicated. Therefore, it is an indispensable part of IT technology for e-commerce platforms to deploy appropriate online recommendation methods to improve the users’ click-through rates. In this research, we conduct cross-domain and diversity analysis of user preferences to develop novel online movie recommendation methods and evaluated online recommendation results. Specifically, association rule mining is conducted on user browsing news and moves to find the latent associations between news and movies. A novel online recommendation approach is proposed to predict user preferences for movies based on Latent Dirichlet Allocation, Collaborative Topic Modeling and the diversity of recommendations. The experimental results show that the proposed approach can improve the cold-start problem and enhance the click-through rate of movies.
Yang, Ming-te, e 楊銘德. "A Planning Study Of Applying Topic Maps on Engineering Design Domain and SWOT Analysis-Steel Tower Project of Transmission Line". Thesis, 2008. http://ndltd.ncl.edu.tw/handle/49681947075388820078.
Texto completo da fonte國立臺灣科技大學
機械工程系
96
The engineers need widespread knowledge to plan the projects but also the engineering design quality effects to the results of the projects, it’s no doubts that a good engineering design promises a successful future. The new era gives us the opportunities to find out the information through internet but the data is not equal to the information neither to the knowledge. How can the managers to help the engineers to transfer the data to be information and combine the experienced judges from the decision makers to sublimate the information becomes the useful knowledge is critical for the companies and countries at present. It has become an important lesson to design the engineering design management platform to increase the work efficiency. The platform should provide a method which can help to analyze the strength, weakness, opportunity and threat. The analysis results should also produce some relative strategies for managers’ reference. Recently the information technology and internet development are speedy. To use the knowledge management to compete with the global competitors is popular. To use the IT decision system to establish a well organized and logical method will certainly improve the efficiency of decision making. The thesis used the “MindManager” software which developed by Mindjet Company to establish the engineering design system analysis and planning with topic maps. The thesis also used the tool of “oks samplers” which developed by Ontopia Company to build the topic maps and the Omnigator knowledge express tool sorts the relative documentation to assist project design relative staffs to guide and visualized the engineering knowledge and documents. The thesis will give the most complete example of the different projects’ decision advises expects to save the time and cost of the projects in order to increase the design and construction quality.
Mooman, Abdelniser. "Multi-Agent User-Centric Specialization and Collaboration for Information Retrieval". Thesis, 2012. http://hdl.handle.net/10012/6991.
Texto completo da fonte