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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 Hits 1 – 17 of 17 1 Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages ... Alabi, Jesujoba O.; Adelani, David Ifeoluwa; Mosbach, Marius. - : arXiv, 2022 BASE Show details 2 Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ... Lee, En-Shiun Annie; Thillainathan, Sarubi; Nayak, Shravan. - : arXiv, 2022 BASE Show details 3 yosm: A new yoruba sentiment corpus for movie reviews ... Shode, Iyanuoluwa; Adelani, David Ifeoluwa; Feldman, Anna. - : arXiv, 2022 BASE Show details 4 MasakhaNER: Named entity recognition for African languages Adelani, David,; Abbott, Jade; Neubig, Graham... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03350962 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, ⟨10.1162/tacl⟩ (2021) BASE Show details 5 The effect of domain and diacritics in Yorùbá-English neural machine translation Adelani, David,; Ruiter, Dana; Alabi, Jesujoba,... In: 18th Biennial Machine Translation Summit ; https://hal.inria.fr/hal-03350967 ; 18th Biennial Machine Translation Summit, Aug 2021, Orlando, United States (2021) BASE Show details 6 Preventing author profiling through zero-shot multilingual back-translation Adelani, David,; Zhang, Miaoran; Shen, Xiaoyu... In: 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.inria.fr/hal-03350906 ; 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2021, Punta Cana, Dominica (2021) BASE Show details 7 On the effect of normalization layers on Differentially Private training of deep Neural networks Davody, Ali; Adelani, David Ifeoluwa; Kleinbauer, Thomas... In: https://hal.inria.fr/hal-03475600 ; 2021 (2021) BASE Show details 8 The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation ... Adelani, David I.; Ruiter, Dana; Alabi, Jesujoba O.. - : arXiv, 2021 BASE Show details 9 Preventing Author Profiling through Zero-Shot Multilingual Back-Translation ... Adelani, David Ifeoluwa; Zhang, Miaoran; Shen, Xiaoyu. - : arXiv, 2021 BASE Show details 10 MasakhaNER: Named Entity Recognition for African Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adelani, David. - : Underline Science Inc., 2021 BASE Show details 11 Preventing Author Profiling through Zero-Shot Multilingual Back-Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Adelani, David; Zhang, Miaoran. - : Underline Science Inc., 2021 BASE Show details 12 Transfer learning and distant supervision for multilingual Transformer models: A study on African languages Hedderich, Michael,; Adelani, David,; Zhu, Dawei... In: 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) ; https://hal.inria.fr/hal-03350901 ; 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020, Punta Cana, Dominica (2020) BASE Show details 13 Distant supervision and noisy label learning for low resource named entity recognition: A study on Hausa and Yorùbá Adelani, David Ifeoluwa; Hedderich, Michael,; Zhu, Dawei... In: ICLR Workshops (AfricaNLP & PML4DC 2020) ; https://hal.archives-ouvertes.fr/hal-03359111 ; ICLR Workshops (AfricaNLP & PML4DC 2020), Apr 2020, Addis Ababa, Ethiopia (2020) BASE Show details 14 Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages ... Hedderich, Michael A.; Adelani, David; Zhu, Dawei; Alabi, Jesujoba; Markus, Udia; Klakow, Dietrich. - : arXiv, 2020 Abstract: Multilingual transformer models like mBERT and XLM-RoBERTa have obtained great improvements for many NLP tasks on a variety of languages. However, recent works also showed that results from high-resource languages could not be easily transferred to realistic, low-resource scenarios. In this work, we study trends in performance for different amounts of available resources for the three African languages Hausa, isiXhosa and Yorùbá on both NER and topic classification. We show that in combination with transfer learning or distant supervision, these models can achieve with as little as 10 or 100 labeled sentences the same performance as baselines with much more supervised training data. However, we also find settings where this does not hold. Our discussions and additional experiments on assumptions such as time and hardware restrictions highlight challenges and opportunities in low-resource learning. ... : Accepted at EMNLP'20 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2010.03179 https://dx.doi.org/10.48550/arxiv.2010.03179 BASE Hide details 15 Improving Yorùbá Diacritic Restoration ... Orife, Iroro; Adelani, David I.; Fasubaa, Timi. - : arXiv, 2020 BASE Show details 16 Massive vs. Curated Word Embeddings for Low-Resourced Languages. The Case of Yorùbá and Twi ... Alabi, Jesujoba O.; Amponsah-Kaakyire, Kwabena; Adelani, David I.. - : arXiv, 2019 BASE Show details 17 Demographic Inference and Representative Population Estimates from Multilingual Social Media Data ... Wang, Zijian; Hale, Scott A.; Adelani, David. - : arXiv, 2019 BASE Show details

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