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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 1 of 1 1 Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Tejaswini; Bassani, Riccardo; Søgaard, Anders. - : Underline Science Inc., 2021 Abstract: Multilingual language models exhibit better performance for some languages than for others, and many languages do not seem to benefit from multilingual sharing at all, presumably as a result of poor multilingual segmentation. This work explores the idea of learning multilingual language models based on clustering of monolingual segments. We show significant improvements over standard multilingual segmentation across nine languages on a question answering task, both in a small model regime and for a model of the size of BERT-base. ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/39629-clustering-monolingual-vocabularies-to-improve-cross-lingual-generalization https://dx.doi.org/10.48448/9x7f-w807 BASE Hide details

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