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Learning New Vocabulary Implicitly During Sleep Transfers With Cross-Modal Generalization Into Wakefulness
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In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.sorbonne-universite.fr/hal-03640595 ; Frontiers in Neuroscience, Frontiers, 2022, 16, pp.801666. ⟨10.3389/fnins.2022.801666⟩ (2022)
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| 2 |
MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0
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In: ICASSP 2022 ; https://hal.archives-ouvertes.fr/hal-03544515 ; ICASSP 2022, May 2022, Singapour, Singapore (2022)
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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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| 4 |
Improving Scene Text Recognition for Indian Languages with Transfer Learning and Font Diversity
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In: Journal of Imaging; Volume 8; Issue 4; Pages: 86 (2022)
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| 5 |
Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
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In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
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Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5
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In: Mathematics; Volume 10; Issue 5; Pages: 746 (2022)
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| 7 |
Comparative Study of Multiclass Text Classification in Research Proposals Using Pretrained Language Models
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4522 (2022)
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| 8 |
Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation
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In: Information; Volume 13; Issue 5; Pages: 220 (2022)
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| 9 |
Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022)
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| 10 |
The Effects of Event Depictions in Second Language Phrasal Vocabulary Learning
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| 11 |
The Effects of Event Depictions in Second Language Phrasal Vocabulary Learning ...
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| 12 |
StaResGRU-CNN with CMedLMs: a stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence
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| 13 |
An Empirical Study of Factors Affecting Language-Independent Models
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Abstract:
Scaling existing applications and solutions to multiple human languages has traditionally proven to be difficult, mainly due to the language-dependent nature of preprocessing and feature engineering techniques employed in traditional approaches. In this work, we empirically investigate the factors affecting language-independent models built with multilingual representations, including task type, language set and data resource. On two most representative Natural Language Processing tasks --- sentence classification and sequence labeling, we show that language-independent models can be comparable to or even outperforms the models trained using monolingual data, and they are generally more effective on sentence classification. We experiment language-independent models with many different languages and show that they are more suitable for typologically similar languages. We also explore the effects of different data sizes when training and testing language-independent models, and demonstrate that they are not only suitable for high-resource languages, but also very effective in low-resource languages.
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Keyword:
Analytics Technologies for Industry Platforms; Business Intelligence; Case studies of Artificial Intelligence; case study; multilingual ai; natural language processing; transfer learning
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URL: https://doi.org/10.24251/HICSS.2022.149
http://hdl.handle.net/10125/79481
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| 14 |
Neural-based Knowledge Transfer in Natural Language Processing
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| 15 |
Chinese Idioms: Stepping Into L2 Student’s Shoes
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In: Acta Linguistica Asiatica, Vol 12, Iss 1 (2022) (2022)
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| 16 |
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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| 17 |
Cross-lingual Representation Learning for Natural Language Processing
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| 18 |
Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning
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In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021)
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| 19 |
Fostering teacher language awareness in a primary English-language immersion school in France: supporting teachers on the road to engaging students’ bilingual competencies
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In: ISSN: 0965-8416 ; Language Awareness ; https://hal.univ-lorraine.fr/hal-03573322 ; In press (2021)
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| 20 |
Investigating data sharing in speech recognition for an underresourced language: the case of algerian dialect
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In: 7th International Conference on Natural Language Processing - NATP 2021 ; https://hal.archives-ouvertes.fr/hal-03137048 ; 7th International Conference on Natural Language Processing - NATP 2021, Mar 2021, Vienna, Austria (2021)
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