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ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
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In: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22) ; https://hal-universite-paris-saclay.archives-ouvertes.fr/hal-03650618 ; 2022 (2022)
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Efficiency of Use of Internet Resources in Teaching a Foreign Language at Non-Linguistic Universities ...
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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О РОЛИ ПРЕЗЕНТАЦИИ ПРИ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ В СФЕРЕ ПРОФЕССИОНАЛЬНОЙ КОММУНИКАЦИИ ... : THE ROLE OF PRESENTATION IN TEACHING A FOREIGN LANGUAGE IN THE FIELD OF PROFESSIONAL COMMUNICATION ...
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Sign Language Recognition System using TensorFlow Object Detection API ...
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hate-alert@DravidianLangTech-ACL2022: Ensembling Multi-Modalities for Tamil TrollMeme Classification ...
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3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos ...
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Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training ...
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Chain-based Discriminative Autoencoders for Speech Recognition ...
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Multimedia Interventions for Neurodiversity: Leveraging Insights from Developmental Cognitive Neuroscience to Build an Innovative Practice
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In: Brain Sciences; Volume 12; Issue 2; Pages: 147 (2022)
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COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic
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In: Multimed Tools Appl (2022)
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Abstract:
It has been declared by the World Health Organization (WHO) the novel coronavirus a global pandemic due to an exponential spread in COVID-19 in the past months reaching over 100 million cases and resulting in approximately 3 million deaths worldwide. Amid this pandemic, identification of cyberbullying has become a more evolving area of research over posts or comments in social media platforms. In multilingual societies like India, code-switched texts comprise the majority of the Internet. Identifying the online bullying of the code-switched user is bit challenging than monolingual cases. As a first step towards enabling the development of approaches for cyberbullying detection, we developed a new code-switched dataset, collected from Twitter utterances annotated with binary labels. To demonstrate the utility of the proposed dataset, we build different machine learning (Support Vector Machine & Logistic Regression) and deep learning (Multilayer Perceptron, Convolution Neural Network, BiLSTM, BERT) algorithms to detect cyberbullying of English-Hindi (En-Hi) code-switched text. Our proposed model integrates different hand-crafted features and is enriched by sequential and semantic patterns generated by different state-of-the-art deep neural network models. Initial experimental results of the proposed deep ensemble model on our code-switched data reveal that our approach yields state-of-the-art results, i.e., 0.93 in terms of macro-averaged F1 score. The dataset and codes of the present study will be made publicly available on the paper’s companion repository [https://github.com/95sayanta/COVID-19-and-Cyberbullying].
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Keyword:
1209: Recent Advances on Social Media Analytics and Multimedia Systems: Issues and Challenges
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8742666/ https://doi.org/10.1007/s11042-021-11601-9
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FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks
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In: https://hal.inria.fr/hal-03462778 ; 2021 (2021)
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The L2L system for second language learning using visualised zoom calls among students
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In: Dey-Plissonneau, Aparajita, Lee, Hyowon orcid:0000-0003-4395-7702 , Pradier, Vincent orcid:0000-0002-7050-6408 , Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) The L2L system for second language learning using visualised zoom calls among students. In: 16th European Conference on Technology-Enhanced Learning EC-TEL 2021, 20-24 Sept 2021, Bozen-Bolzano, Italy (Online). ISBN 978-3-030-86435-4 (2021)
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Utilising visual attention cues for vehicle detection and tracking
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In: Hu, Feiyan orcid:0000-0001-7451-6438 , Gurram Munirathnam, Venkatesh orcid:0000-0002-4393-9267 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Little, Suzanne orcid:0000-0003-3281-3471 (2021) Utilising visual attention cues for vehicle detection and tracking. In: 25th International Conference on Pattern Recognition (ICPR2020), 10-15 Jan 2021, Milan, Italy (Online). (2021)
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Attention based video summaries of live online zoom classes
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In: Lee, Hyowon orcid:0000-0003-4395-7702 , Liu, Mingming orcid:0000-0002-8988-2104 , Riaz, Hamza, Rajasekaran, Navaneethan, Scriney, Michael orcid:0000-0001-6813-2630 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) Attention based video summaries of live online zoom classes. In: AAAI-2021 Workshop on AI Education: "Imagining Post-COVID Education with AI" (TIPCE-2021)., 9 Feb 2021, Online (Vancouver, Canada). (In Press) (2021)
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Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University
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In: Lee, Hyowon orcid:0000-0003-4395-7702 , Scriney, Michael orcid:0000-0001-6813-2630 , Dey-Plissonneau, Aparajita and Smeaton, Alan orcid:0000-0003-1028-8389 (2021) Supporting an effective review of telecollaboration for second language learning by visualising the participation and engagement at Dublin City University. In: Virtual Exchange in Higher Education: Charting the Irish Experience, 17 Sept 2021, Online vs MS Teams. (2021)
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Leveraging lyrics from audio for MIR ; Exploiter les paroles de chansons à partir de l'audio pour le MIR
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In: https://tel.archives-ouvertes.fr/tel-03558515 ; Signal and Image processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAT027⟩ (2021)
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Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
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In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.inria.fr/hal-03415990 ; K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Birger Larsen; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.371-393, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_24⟩ (2021)
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Simulating reading mistakes for child speech Transformer-based phone recognition
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In: Annual Conference of the International Speech Communication Association (INTERSPEECH) ; https://hal.archives-ouvertes.fr/hal-03257870 ; Annual Conference of the International Speech Communication Association (INTERSPEECH), Aug 2021, Brno, Czech Republic (2021)
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