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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6...477 Hits 21 – 40 of 9.525 21 Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022 BASE Show details 22 Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ... Weigelt, Sebastian. - : KIT Scientific Publishing, 2022 BASE Show details 23 Memory and linguistic demands of the Token Test (Pham et al., 2022) ... Pham, Theresa; Bardell, Taylor E.; Vollebregt, Meghan. - : ASHA journals, 2022 BASE Show details 24 Memory and linguistic demands of the Token Test (Pham et al., 2022) ... Pham, Theresa; Bardell, Taylor E.; Vollebregt, Meghan. - : ASHA journals, 2022 BASE Show details 25 Förderung des Bildungsspracherwerbs bei heterogenen sprachlichen Voraussetzungen im Unterricht mit digitalen Medien Pöschl, Sonja-Hella In: Haider, Michael [Hrsg.]; Schmeinck, Daniela [Hrsg.]: Digitalisierung in der Grundschule. Grundlagen, Gelingensbedingungen und didaktische Konzeptionen am Beispiel des Fachs Sachunterricht. Bad Heilbrunn : Verlag Julius Klinkhardt 2022, S. 124-139 (2022) BASE Show details 26 Multi language Email Classification Using Transfer learning Sousa, Mário Jorge Carvalho de. - 2022 BASE Show details 27 VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ... Ruiz-Dolz, Ramon; Nofre, Montserrat; Taulé, Mariona. - : Zenodo, 2022 BASE Show details 28 VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ... Ruiz-Dolz, Ramon; Nofre, Montserrat; Taulé, Mariona. - : Zenodo, 2022 BASE Show details 29 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 30 VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ... Ruiz-Dolz, Ramon; Nofre, Montserrat; Taulé, Mariona. - : Zenodo, 2022 BASE Show details 31 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 32 Latin Lemmatization & POS Tagging. Issues, Resources, Tools ... Passarotti, Marco; Mambrini, Francesco. - : Zenodo, 2022 BASE Show details 33 The First Gospel, the Gospel of the Poor: A New Reconstruction of Q and Resolution of the Synoptic Problem based on Marcion's Early Luke ... Bilby, Mark G.. - : Zenodo, 2022 BASE Show details 34 Source Code for Youtube dataset processing ... TURENNE, Nicolas. - : Zenodo, 2022 BASE Show details 35 Source Code for Youtube dataset processing ... TURENNE, Nicolas. - : Zenodo, 2022 BASE Show details 36 Latin Lemmatization & POS Tagging. Issues, Resources, Tools ... Passarotti, Marco; Mambrini, Francesco. - : Zenodo, 2022 BASE Show details 37 Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ... Zhang, Yi. - : Purdue University Graduate School, 2022 Abstract: Empowering machines to understand our physical world should go beyond models with only natural language and models with only vision. Vision and language is a growing field of study that attempts to bridge the gap between natural language processing and computer vision communities by enabling models to learn visually grounded language. However, as an increasing number of pre-trained visual linguistic models focus on the alignment between visual regions and natural language, it is difficult to claim that these models capture certain properties of objects in their latent space, such as size. Inspired by recent trends in prompt learning, this study will design a prompt learning framework for two visual linguistic models, ViLBERT and ViLT, and use different manually crafted prompt templates to evaluate the consistency of performance of these models in comparing the size of objects. The results of this study showed that ViLT is more consistent in prediction accuracy for the given task with six pairs of objects ... Keyword: 170203 Knowledge Representation and Machine Learning; 80104 Computer Vision; 80107 Natural Language Processing; FOS Computer and information sciences; FOS Psychology URL: https://dx.doi.org/10.25394/pgs.19633317.v1 https://hammer.purdue.edu/articles/thesis/Giant_Pigeon_and_Small_Person_Prompting_Visually_Grounded_Models_about_the_Size_of_Objects/19633317/1 BASE Hide details 38 Giant Pigeon and Small Person: Prompting Visually Grounded Models about the Size of Objects ... Zhang, Yi. - : Purdue University Graduate School, 2022 BASE Show details 39 The First Gospel, the Gospel of the Poor: A New Reconstruction of Q and Resolution of the Synoptic Problem based on Marcion's Early Luke ... Bilby, Mark G.. - : Zenodo, 2022 BASE Show details 40 REYD demo files ... Bleaman, Isaac. - : figshare, 2022 BASE Show details Page: 1 2 3 4 5 6...477

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