Literatura científica selecionada sobre o tema "Système de question-réponse visuels"
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Artigos de revistas sobre o assunto "Système de question-réponse visuels"
Regard, Marianne, e Theodor Landis. "Hemispheric Differences in the Processing of Ambiguity: Tachistoscopic Studies with Inkblots". Rorschachiana 22, n.º 1 (janeiro de 1997): 114–29. http://dx.doi.org/10.1027/1192-5604.22.1.114.
Texto completo da fonteMessai-Farkh, Sonia, Maha Badr e Fady Calargé. "Développements et transformations digitales de l’enseignement supérieur au Liban : défis et perspectives". European Scientific Journal, ESJ 18, n.º 6 (28 de fevereiro de 2022): 58. http://dx.doi.org/10.19044/esj.2022.v18n6p58.
Texto completo da fonteKolde, Antje-Marianne, Carlamaria Lucci e Rosanna Margonis-Pasinetti. "Homo digitalis + Homo plurilinguis = Homo sapiens?" Babylonia Journal of Language Education 2 (2 de outubro de 2022): 46–51. http://dx.doi.org/10.55393/babylonia.v2i.180.
Texto completo da fonteCardinal, Christiane, e Danielle Laberge. "Le système policier et les services de santé mentale". Santé mentale au Québec 24, n.º 1 (19 de outubro de 2006): 199–220. http://dx.doi.org/10.7202/031592ar.
Texto completo da fonteDubois, Paul-André. "Lecture solfégique et tradition orale dans quelques missions de la Nouvelle-France". Articles 5 (6 de outubro de 2008): 7–35. http://dx.doi.org/10.7202/019014ar.
Texto completo da fonteArmour, Leslie. "On “Making God Go Away”—A Reply to Professor Maxwell". Dialogue 37, n.º 2 (1998): 291–98. http://dx.doi.org/10.1017/s0012217300006971.
Texto completo da fonteRodríguez Higuera, Claudio Julio. "La frontière du signe : réflexions autour du mystère des origines de la sémiose selon la biosémiotique de Tartu". Cygne noir, n.º 3 (11 de julho de 2022): 10–25. http://dx.doi.org/10.7202/1090449ar.
Texto completo da fonteDouglas, Heather. "Customary Law, Sentencing and the Limits of the State". Canadian journal of law and society 20, n.º 1 (abril de 2005): 141–56. http://dx.doi.org/10.1353/jls.2006.0005.
Texto completo da fonteBril, Jacques. "Un crépuscule incertain". Revue de psychothérapie psychanalytique de groupe 30, n.º 1 (1998): 151–56. http://dx.doi.org/10.3406/rppg.1998.1404.
Texto completo da fonteGaies, Brahim. "La globalisation financière et ses crises : une continuité de l’Antiquité à nos jours ?" Management & Sciences Sociales N° 31, n.º 2 (1 de julho de 2021): 82–97. http://dx.doi.org/10.3917/mss.031.0082.
Texto completo da fonteTeses / dissertações sobre o assunto "Système de question-réponse visuels"
Dancette, Corentin. "Shortcut Learning in Visual Question Answering". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS073.
Texto completo da fonteThis thesis is focused on the task of VQA: it consists in answering textual questions about images. We investigate Shortcut Learning in this task: the literature reports the tendency of models to learn superficial correlations leading them to correct answers in most cases, but which can fail when encountering unusual input data. We first propose two methods to reduce shortcut learning on VQA. The first, which we call RUBi, consists of an additional loss to encourage the model to learn from the most difficult and less biased examples -- those which cannot be answered solely from the question. We then propose SCN, a model for the more specific task of visual counting, which incorporates architectural priors designed to make it more robust to distribution shifts. We then study the existence of multimodal shortcuts in the VQA dataset. We show that shortcuts are not only based on correlations between the question and the answer but can also involve image information. We design an evaluation benchmark to measure the robustness of models to multimodal shortcuts. We show that existing models are vulnerable to multimodal shortcut learning. The learning of those shortcuts is particularly harmful when models are evaluated in an out-of-distribution context. Therefore, it is important to evaluate the reliability of VQA models, i.e. We propose a method to improve their ability to abstain from answering when their confidence is too low. It consists of training an external ``selector'' model to predict the confidence of the VQA model. This selector is trained using a cross-validation-like scheme in order to avoid overfitting on the training set
Lerner, Paul. "Répondre aux questions visuelles à propos d'entités nommées". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG074.
Texto completo da fonteThis thesis is positioned at the intersection of several research fields, Natural Language Processing, Information Retrieval (IR) and Computer Vision, which have unified around representation learning and pre-training methods. In this context, we have defined and studied a new multimodal task: Knowledge-based Visual Question Answering about Named Entities (KVQAE).In this context, we were particularly interested in cross-modal interactions and different ways of representing named entities. We also focused on data used to train and, more importantly, evaluate Question Answering systems through different metrics.More specifically, we proposed a dataset for this purpose, the first in KVQAE comprising various types of entities. We also defined an experimental framework for dealing with KVQAE in two stages through an unstructured knowledge base and identified IR as the main bottleneck of KVQAE, especially for questions about non-person entities. To improve the IR stage, we studied different multimodal fusion methods, which are pre-trained through an original task: the Multimodal Inverse Cloze Task. We found that these models leveraged a cross-modal interaction that we had not originally considered, and which may address the heterogeneity of visual representations of named entities. These results were strengthened by a study of the CLIP model, which allows this cross-modal interaction to be modeled directly. These experiments were carried out while staying aware of biases present in the dataset or evaluation metrics, especially of textual biases, which affect any multimodal task
Embarek, Mehdi. "Un système de question-réponse dans le domaine médical : le système Esculape". Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00432052.
Texto completo da fonteBenamara, Farah. "Webcoop : un système de question-réponse coopératif sur le web". Toulouse 3, 2004. http://www.theses.fr/2004TOU30169.
Texto completo da fonteThis thesis describes the WEBCOOP system that aims at providing cooperative responses in French to natural language queries on the web. The main objectives of the system are : -the integration of reasoning procedures with a variety of knowledge bases as well as real life data extracted from web pages in order to produce web style natural language responses. -major and new feature: the integration of a cooperative know-how component that goes beyond the mere recognition of a user misconception
Moriceau, Véronique. "Intégration de données dans un système question-réponse sur le Web". Toulouse 3, 2007. http://www.theses.fr/2007TOU30019.
Texto completo da fonteIn the framework of question-answering systems on the Web, our main goals are to model, develop and evaluate a system which can, from a question in natural language, search for relevant answers on the Web and generate a synthetic answer, even if the search engine selected several candidate answers. We focused on temporal and numerical questions. Our system deals with : - the integration of data from candidate answers by using a knowledge base and knowledge extracted from the Web. This component allows the detection of data inconsistencies and deals with user expectations in order to produce a relevant answer, - the generation of synthetic answers in natural language which are relevant w. R. T users. Indeed, generated answers have to be short, understandable and have to express the cooperative know-how which has been used to solve data inconsistencies. We also propose evaluation methods to evaluate our system from a technical and cognitive point of view
Sedogbo, Célestin. "De la grammaire en chaîne du français à un système question-réponse". Aix-Marseille 2, 1987. http://www.theses.fr/1987AIX22092.
Texto completo da fonteBernard, Guillaume. "Réordonnancement de candidats reponses pour un système de questions-réponses". Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00606025.
Texto completo da fonteNicaud, Lydia. "Le raisonnement caricatural : un guide pour le raisonnement dans un système question-réponse en langage naturel". Paris 11, 1986. http://www.theses.fr/1986PA112075.
Texto completo da fonteQuestion answering systems in natural language, using a lot of production rules, have some difficulties to choice the relevant rules, to determine the goal to reach, without inducing combinatory explosion. This thesis proposes a reasoning strategy which works upon rude knowledge, in order to blaze trails and to provide a guiding for a natural language reasoned. This strategy is also able to pick up a few number of relevant rules, and to select relevant goals
Monceaux, Laura. "Adaptation du niveau d'analyse des interventions dans un dialogue : application à un système de question-réponse". Paris 11, 2002. http://www.theses.fr/2002PA112291.
Texto completo da fonteDue to the variety of dialogue types, we studied how to adapt, in a generic way, the level of user interventions analysis. An analysis by keywords, recommended by systems of specific dialogues (relative to a particular task) is inadequate to handle such interventions, because therefore, it is impossible to represent all the world knowledge and solve the conflicts arising from this variety. We developed an analysis of the interventions, independent from their domains and based on the syntax interventions. In so doing, we were confronted with the choice of syntactic analyzer. To solve it, we studied the various existing syntactic parsers by constructing a classification according to their capacities, followed by the development of an evaluation protocol of these analyzers for French. Further to this evaluation, it appeared interesting to develop an algorithm of compromise between several analyses to return the most plausible analysis. This will allow us not only to use the capacities of every analyzes but also to quantify every information returned by a confidence rate. From the intervention's syntax and the semantic knowledge provided by the lexical base WordNet (synonym, hyperonym), we developed a system to extract the intervention's intention and its propositional contents. Particularly, we were interested in the question interventions : the propositional contents rely upon the extraction of the answer type and of the object of the question. To estimate the efficiency of these criteria, this analysis was integrated into the question-answering system developed in the LIR group
Saneifar, Hassan. "Locating Information in Heterogeneous log files". Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20092/document.
Texto completo da fonteIn this thesis, we present contributions to the challenging issues which are encounteredin question answering and locating information in complex textual data, like log files. Question answering systems (QAS) aim to find a relevant fragment of a document which could be regarded as the best possible concise answer for a question given by a user. In this work, we are looking to propose a complete solution to locate information in a special kind of textual data, i.e., log files generated by EDA design tools.Nowadays, in many application areas, modern computing systems are instrumented to generate huge reports about occurring events in the format of log files. Log files are generated in every computing field to report the status of systems, products, or even causes of problems that can occur. Log files may also include data about critical parameters, sensor outputs, or a combination of those. Analyzing log files, as an attractive approach for automatic system management and monitoring, has been enjoying a growing amount of attention [Li et al., 2005]. Although the process of generating log files is quite simple and straightforward, log file analysis could be a tremendous task that requires enormous computational resources, long time and sophisticated procedures [Valdman, 2004]. Indeed, there are many kinds of log files generated in some application domains which are not systematically exploited in an efficient way because of their special characteristics. In this thesis, we are mainly interested in log files generated by Electronic Design Automation (EDA) systems. Electronic design automation is a category of software tools for designing electronic systems such as printed circuit boards and Integrated Circuits (IC). In this domain, to ensure the design quality, there are some quality check rules which should be verified. Verification of these rules is principally performed by analyzing the generated log files. In the case of large designs that the design tools may generate megabytes or gigabytes of log files each day, the problem is to wade through all of this data to locate the critical information we need to verify the quality check rules. These log files typically include a substantial amount of data. Accordingly, manually locating information is a tedious and cumbersome process. Furthermore, the particular characteristics of log files, specially those generated by EDA design tools, rise significant challenges in retrieval of information from the log files. The specific features of log files limit the usefulness of manual analysis techniques and static methods. Automated analysis of such logs is complex due to their heterogeneous and evolving structures and the large non-fixed vocabulary.In this thesis, by each contribution, we answer to questions raised in this work due to the data specificities or domain requirements. We investigate throughout this work the main concern "how the specificities of log files can influence the information extraction and natural language processing methods?". In this context, a key challenge is to provide approaches that take the log file specificities into account while considering the issues which are specific to QA in restricted domains. We present different contributions as below:> Proposing a novel method to recognize and identify the logical units in the log files to perform a segmentation according to their structure. We thus propose a method to characterize complex logicalunits found in log files according to their syntactic characteristics. Within this approach, we propose an original type of descriptor to model the textual structure and layout of text documents.> Proposing an approach to locate the requested information in the log files based on passage retrieval. To improve the performance of passage retrieval, we propose a novel query expansion approach to adapt an initial query to all types of corresponding log files and overcome the difficulties like mismatch vocabularies. Our query expansion approach relies on two relevance feedback steps. In the first one, we determine the explicit relevance feedback by identifying the context of questions. The second phase consists of a novel type of pseudo relevance feedback. Our method is based on a new term weighting function, called TRQ (Term Relatedness to Query), introduced in this work, which gives a score to terms of corpus according to their relatedness to the query. We also investigate how to apply our query expansion approach to documents from general domains.> Studying the use of morpho-syntactic knowledge in our approaches. For this purpose, we are interested in the extraction of terminology in the log files. Thus, we here introduce our approach, named Exterlog (EXtraction of TERminology from LOGs), to extract the terminology of log files. To evaluate the extracted terms and choose the most relevant ones, we propose a candidate term evaluation method using a measure, based on the Web and combined with statistical measures, taking into account the context of log files
Livros sobre o assunto "Système de question-réponse visuels"
Fujita, Kazuo, Noriyuki Nakamura e Sota Watanabe. Visual Illusion in a Comparative Perspective. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0003.
Texto completo da fonteGilad-Gutnick, Sharon, e Pawan Sinha. The Presidential Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0090.
Texto completo da fonteCapítulos de livros sobre o assunto "Système de question-réponse visuels"
Kodra, Lorena, e Elinda Kajo Meçe. "Multimodal Attention for Visual Question Answering". In Advances in Intelligent Systems and Computing, 783–92. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01174-1_60.
Texto completo da fonteKolluru, S. K., Shreyans Shrimal e Sudharsan Krishnaswamy. "CognitiveCam: A Visual Question Answering Application". In Applications of Cognitive Computing Systems and IBM Watson, 85–90. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6418-0_11.
Texto completo da fonteFathima Najiya, M., e N. Arivazhagan. "Visual Question Answering System for Relational Networks". In Proceedings of International Conference on Deep Learning, Computing and Intelligence, 323–34. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5652-1_28.
Texto completo da fonteFathima Najiya, M., e N. Arivazhagan. "Visual Question Answering System for Relational Networks". In Proceedings of International Conference on Deep Learning, Computing and Intelligence, 323–34. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5652-1_28.
Texto completo da fonteLiu, Xumeng, Wenya Guo, Yuhao Zhang e Ying Zhang. "Dynamic Alternative Attention for Visual Question Answering". In Web Information Systems and Applications, 380–92. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20309-1_33.
Texto completo da fonteNuseir, Aya, Moritz Vannahme e Marc Ebner. "A Balanced Counting Visual Question Answering Dataset". In Lecture Notes in Networks and Systems, 509–18. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53960-2_32.
Texto completo da fonteMahamoud, Ibrahim Souleiman, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain d’Andecy e Jean-Marc Ogier. "QAlayout: Question Answering Layout Based on Multimodal Attention for Visual Question Answering on Corporate Document". In Document Analysis Systems, 659–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06555-2_44.
Texto completo da fonteBrugués i Pujolràs, Josep, Lluís Gómez i Bigordà e Dimosthenis Karatzas. "A Multilingual Approach to Scene Text Visual Question Answering". In Document Analysis Systems, 65–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06555-2_5.
Texto completo da fonteKarthika Renuka, D., L. Ashok Kumar, R. Geetha Rajakumari, R. Vinitha, R. Meena e B. Swathi. "Visual Question Answering System Using Co-attention Model". In Lecture Notes in Electrical Engineering, 365–73. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2177-3_36.
Texto completo da fonteNuseir, Aya, Moritz Vannahme e Marc Ebner. "Evaluation of Systematic Errors in Visual Question Answering". In Lecture Notes in Networks and Systems, 151–60. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53960-2_11.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Système de question-réponse visuels"
Lioutas, Vasileios, Nikolaos Passalis e Anastasios Tefas. "Visual Question Answering using Explicit Visual Attention". In 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018. http://dx.doi.org/10.1109/iscas.2018.8351158.
Texto completo da fonteLiu, Jinlai, Chenfei Wu, Xiaojie Wang e Xuan Dong. "Sequential Visual Reasoning for Visual Question Answering". In 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2018. http://dx.doi.org/10.1109/ccis.2018.8691361.
Texto completo da fonteRathi, Snehal, Atharv Raje, Gauri Ghule, Shruti Sankpal, Soham Shitole e Priyanka More. "Visual Question Generation Using Deep Learning". In 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). IEEE, 2023. http://dx.doi.org/10.1109/icccis60361.2023.10425302.
Texto completo da fonteSuresh, Sourav, Varun Nagaraj Rao e Gowri Srinivasa. "Gamification of a Visual Question Answer System". In 2018 IEEE Ninth International Conference on Technology for Education (T4E). IEEE, 2018. http://dx.doi.org/10.1109/t4e.2018.00016.
Texto completo da fonteMostafa, Ahmed, Hazem Abbas e Mahmoud I. Khalil. "Comparative Study of Visual Question Answering Algorithms". In 2020 15th International Conference on Computer Engineering and Systems (ICCES). IEEE, 2020. http://dx.doi.org/10.1109/icces51560.2020.9334686.
Texto completo da fonteWang, Min, Ata Mahjoubfar e Anupama Joshi. "FashionVQA: A Domain-Specific Visual Question Answering System". In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2023. http://dx.doi.org/10.1109/cvprw59228.2023.00356.
Texto completo da fontePanda, Soumya Priyadarsini, e Navin Chandra. "A Visual Question Answering System using YOLO Model". In 2021 19th OITS International Conference on Information Technology (OCIT). IEEE, 2021. http://dx.doi.org/10.1109/ocit53463.2021.00059.
Texto completo da fonteAmin, Dhiraj, Sharvari Govilkar e Sagar Kulkarni. "Visual Question Answering System for Indian Regional Languages". In 2022 5th International Conference on Advances in Science and Technology (ICAST). IEEE, 2022. http://dx.doi.org/10.1109/icast55766.2022.10039528.
Texto completo da fonteDesai, Hitul, Debabrata Pal, Ankit Jha, Avik Hati e Biplab Banerjee. "RS-MCQA: Multi-class Question Aware Visual Question Answering for Optical Remote Sensing Datasets". In 2023 International Symposium on Signals, Circuits and Systems (ISSCS). IEEE, 2023. http://dx.doi.org/10.1109/isscs58449.2023.10190896.
Texto completo da fonteAtakishiyev, Shahin, Mohammad Salameh, Housam Babiker e Randy Goebel. "Explaining Autonomous Driving Actions with Visual Question Answering". In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2023. http://dx.doi.org/10.1109/itsc57777.2023.10421901.
Texto completo da fonteRelatórios de organizações sobre o assunto "Système de question-réponse visuels"
Dale, Naomi, Aneesa Khan e Sophie Dale. Early intervention for vision and neurodevelopment in infants and very young children with visual impairment: a systematicreview. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, agosto de 2022. http://dx.doi.org/10.37766/inplasy2022.8.0080.
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