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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 Hits 1 – 20 of 51 1 SOCIOFILLMORE: A Tool for Discovering Perspectives ... Minnema, Gosse; Gemelli, Sara; Zanchi, Chiara. - : arXiv, 2022 BASE Show details 2 IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation ... Sarti, Gabriele; Nissim, Malvina. - : arXiv, 2022 BASE Show details 3 Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer ... Lai, Huiyuan; Toral, Antonio; Nissim, Malvina. - : arXiv, 2022 BASE Show details 4 DALC: the Dutch Abusive Language Corpus ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Caselli, Tommaso; Leistra, Folkert. - : Underline Science Inc., 2021 BASE Show details 5 Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Antonio; Lai, Huiyuan. - : Underline Science Inc., 2021 BASE Show details 6 Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ... de Vries, Wietse; Bartelds, Martijn; Nissim, Malvina. - : arXiv, 2021 BASE Show details 7 Generic resources are what you need: Style transfer tasks without task-specific parallel training data ... Lai, Huiyuan; Toral, Antonio; Nissim, Malvina. - : arXiv, 2021 BASE Show details 8 Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bartelds, Martijn; de Vries, Wietse; Nissim, Malvina; Wieling, Martijn. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.433 Abstract: For many (minority) languages, the resources needed to train large models are not available. We investigate the performance of zero-shot transfer learning with as little data as possible, and the influence of language similarity in this process. We retrain the lexical layers of four BERT-based models using data from two low-resource target language varieties, while the Transformer layers are independently fine-tuned on a POS-tagging task in the model's source language. By combining the new lexical layers and fine-tuned Transformer layers, we achieve high task performance for both target languages. With high language similarity, 10MB of data appears sufficient to achieve substantial monolingual transfer performance. Monolingual BERT-based models generally achieve higher downstream task performance after retraining the lexical layer than multilingual BERT, even when the target language is included in the multilingual model. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Neural Network; Semantics URL: https://dx.doi.org/10.48448/n3bm-jx74 https://underline.io/lecture/26524-adapting-monolingual-models-data-can-be-scarce-when-language-similarity-is-high BASE Hide details 9 As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; de Vries, Wietse; Nissim, Malvina. - : Underline Science Inc., 2021 BASE Show details 10 Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students ... Pannitto, Ludovica; Busso, Lucia; Combei, Claudia Roberta. - : arXiv, 2021 BASE Show details 11 Teaching NLP with Bracelets and Restaurant Menus:An Interactive Workshop for Italian Students Pannitto, Ludovica; Busso, Lucia; Combei, Claudia Roberta. - : Association for Computational Linguistics, 2021 BASE Show details 12 What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models ... de Vries, Wietse; van Cranenburgh, Andreas; Nissim, Malvina. - : arXiv, 2020 BASE Show details 13 Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian ... Bassignana, Elisa; Nissim, Malvina; Patti, Viviana. - : arXiv, 2020 BASE Show details 14 Datasets and Models for Authorship Attribution on Italian Personal Writings ... Ruggiero, Gaetana; Gatt, Albert; Nissim, Malvina. - : arXiv, 2020 BASE Show details 15 Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias ... Bartl, Marion; Nissim, Malvina; Gatt, Albert. - : arXiv, 2020 BASE Show details 16 Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ... The 28th International Conference on Computational Linguistics 2020; Bassignana, Elisa; Nissim, Malvina. - : Underline Science Inc., 2020 BASE Show details 17 Unmasking Contextual Stereotypes: Measuring and Mitigating BERT'S Gender Bias ... The 28th International Conference on Computational Linguistics 2020; Bartl, Marion; Gatt, Albert. - : Underline Science Inc., 2020 BASE Show details 18 As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages ... de Vries, Wietse; Nissim, Malvina. - : arXiv, 2020 BASE Show details 19 Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor Nissim, Malvina; van Noord, Rik; van der Goot, Rob In: Computational Linguistics, Vol 46, Iss 2, Pp 487-497 (2020) (2020) BASE Show details 20 BERTje: A Dutch BERT Model ... de Vries, Wietse; van Cranenburgh, Andreas; Bisazza, Arianna. - : arXiv, 2019 BASE Show details Page: 1 2 3

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