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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning ...
Ponti, Edoardo
;
Glavaš, Goran
;
Majewska, Olga
;
Liu, Qianchu
;
Vulic, Ivan
;
Korhonen, Anna-Leena
. - : Apollo - University of Cambridge Repository, 2020
Abstract:
In order to simulate human language capacity, natural language processing systems must be able to reason about the dynamics of everyday situations, including their possible causes and effects. Moreover, they should be able to generalise the acquired world knowledge to new languages, modulo cultural differences. Advances in machine reasoning and cross-lingual transfer depend on the availability of challenging evaluation benchmarks. Motivated by both demands, we introduce Cross-lingual Choice of Plausible Alternatives (XCOPA), a typologically diverse multilingual dataset for causal commonsense reasoning in 11 languages, which includes resource-poor languages like Eastern Apurímac Quechua and Haitian Creole. We evaluate a range of state-of-the-art models on this novel dataset, revealing that the performance of current methods based on multilingual pretraining and zero-shot fine-tuning falls short compared to translation-based transfer. Finally, we propose strategies to adapt multilingual models to out-of-sample ...
URL:
https://www.repository.cam.ac.uk/handle/1810/315102
https://dx.doi.org/10.17863/cam.62209
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XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
Liu, Qianchu
;
Korhonen, Anna-Leena
;
Majewska, Olga
. - : Association for Computational Linguistics, 2020. : Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020
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