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1
ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ; https://hal-ujm.archives-ouvertes.fr/ujm-03353731 ; Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Aug 2021, Online, France. pp.2454-2466, ⟨10.18653/v1/2021.acl-long.191⟩ (2021)
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2
A Neural Few-Shot Text Classification Reality Check
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume ; 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal-ujm.archives-ouvertes.fr/ujm-03267869 ; 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kyiv (virtual), Ukraine (2021)
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ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning ...
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A Neural Few-Shot Text Classification Reality Check ...
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ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing ...
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6
Few-shot Pseudo-Labeling for Intent Detection
In: Proceedings of the 28th International Conference on Computational Linguistics ; https://hal-ujm.archives-ouvertes.fr/ujm-03267832 ; Proceedings of the 28th International Conference on Computational Linguistics, Dec 2020, Barcelona, France. pp.4993-5003, ⟨10.18653/v1/2020.coling-main.438⟩ (2020)
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