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Hits 1 – 20 of 51
1
SOCIOFILLMORE: A Tool for Discovering Perspectives ...
Minnema, Gosse
;
Gemelli, Sara
;
Zanchi, Chiara
. - : arXiv, 2022
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2
IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation ...
Sarti, Gabriele
;
Nissim, Malvina
. - : arXiv, 2022
BASE
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3
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer ...
Lai, Huiyuan
;
Toral, Antonio
;
Nissim, Malvina
. - : arXiv, 2022
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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
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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
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6
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High ...
de Vries, Wietse
;
Bartelds, Martijn
;
Nissim, Malvina
;
Wieling, Martijn
. - : arXiv, 2021
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. ... : Findings of ACL 2021 Camera Ready ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://dx.doi.org/10.48550/arxiv.2105.02855
https://arxiv.org/abs/2105.02855
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7
Generic resources are what you need: Style transfer tasks without task-specific parallel training data ...
Lai, Huiyuan
;
Toral, Antonio
;
Nissim, Malvina
. - : arXiv, 2021
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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
. - : Underline Science Inc., 2021
BASE
Show 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
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10
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students ...
Pannitto, Ludovica
;
Busso, Lucia
;
Combei, Claudia Roberta
. - : arXiv, 2021
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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
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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
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13
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian ...
Bassignana, Elisa
;
Nissim, Malvina
;
Patti, Viviana
. - : arXiv, 2020
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14
Datasets and Models for Authorship Attribution on Italian Personal Writings ...
Ruggiero, Gaetana
;
Gatt, Albert
;
Nissim, Malvina
. - : arXiv, 2020
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15
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias ...
Bartl, Marion
;
Nissim, Malvina
;
Gatt, Albert
. - : arXiv, 2020
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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
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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
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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
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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)
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20
BERTje: A Dutch BERT Model ...
de Vries, Wietse
;
van Cranenburgh, Andreas
;
Bisazza, Arianna
. - : arXiv, 2019
BASE
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