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IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
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Modelling Latent Translations for Cross-Lingual Transfer ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions ...
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Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions ...
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CoQA: A Conversational Question Answering Challenge
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 249-266 (2019) (2019)
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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