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Simple Search
Hits 1 – 17 of 17
1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
Bugliarello, Emanuele
;
Liu, Fangyu
;
Pfeiffer, Jonas
. - : arXiv, 2022
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2
Improving Word Translation via Two-Stage Contrastive Learning ...
Li, Yaoyiran
;
Liu, Fangyu
;
Collier, Nigel
. - : arXiv, 2022
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3
Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
Zhou, Wenxuan
;
Liu, Fangyu
;
Vulić, Ivan
. - : arXiv, 2021
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4
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
Liu, Fangyu
;
Vulić, Ivan
;
Korhonen, Anna
. - : arXiv, 2021
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5
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu
;
Liu, Fangyu
;
Collier, Nigel
. - : arXiv, 2021
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6
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
Liu, Qianchu
;
Liu, Fangyu
;
Collier, Nigel
;
Korhonen, Anna
;
Vulić, Ivan
. - : Apollo - University of Cambridge Repository, 2021
Abstract:
Recent work indicated that pretrained language models (PLMs) such as BERT and RoBERTa can be transformed into effective sentence and word encoders even via simple self-supervised techniques. Inspired by this line of work, in this paper we propose a fully unsupervised approach to improving word-in-context (WiC) representations in PLMs, achieved via a simple and efficient WiC-targeted fine-tuning procedure: MirrorWiC. The proposed method leverages only raw texts sampled from Wikipedia, assuming no sense-annotated data, and learns context-aware word representations within a standard contrastive learning setup. We experiment with a series of standard and comprehensive WiC benchmarks across multiple languages. Our proposed fully unsupervised MirrorWiC models obtain substantial gains over off-the-shelf PLMs across all monolingual, multilingual and cross-lingual setups. Moreover, on some standard WiC benchmarks, MirrorWiC is even on-par with supervised models fine-tuned with in-task data and sense labels. ...
Keyword:
cs.CL
URL:
https://dx.doi.org/10.17863/cam.78495
https://www.repository.cam.ac.uk/handle/1810/331050
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7
Visually Grounded Reasoning across Languages and Cultures ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Bugliarello, Emanuele
;
Collier, Nigel
. - : Underline Science Inc., 2021
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8
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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
;
., Nigel
;
Korhonen, Anna
. - : Underline Science Inc., 2021
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9
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Nigel
;
Korhonen, Anna
. - : Underline Science Inc., 2021
BASE
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10
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
Liu, Fangyu
;
Vulić, I
;
Korhonen, Anna-Leena
. - : Apollo - University of Cambridge Repository, 2021
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11
Visually Grounded Reasoning across Languages and Cultures ...
Liu, Fangyu
;
Bugliarello, Emanuele
;
Ponti, Edoardo Maria
. - : arXiv, 2021
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12
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
Liu, Fangyu
;
Vulić, Ivan
;
Korhonen, Anna
. - : arXiv, 2021
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13
Visually Grounded Reasoning across Languages and Cultures ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Nigel
;
Bugliarello, Emanuele
. - : Underline Science Inc., 2021
BASE
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14
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
., Nigel
;
Korhonen, Anna
. - : Underline Science Inc., 2021
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15
Self-Alignment Pretraining for Biomedical Entity Representations
Liu, Fangyu
;
Shareghi, Ehsan
;
Meng, Zaiqiao
. - : Association for Computational Linguistics, 2021. : Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
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16
Upgrading the Newsroom: An Automated Image Selection System for News Articles ...
Liu, Fangyu
;
Lebret, Rémi
;
Orel, Didier
. - : arXiv, 2020
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17
Upgrading the Newsroom: An Automated Image Selection System for News Articles
Liu, Fangyu
;
Lebret, Remi
;
Orel, Didier
...
In: http://infoscience.epfl.ch/record/280322 (2020)
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