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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 – 2 of 2 1 Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise ... Aepli, Noëmi; Sennrich, Rico. - : arXiv, 2021 Abstract: Cross-lingual transfer between a high-resource language and its dialects or closely related language varieties should be facilitated by their similarity. However, current approaches that operate in the embedding space do not take surface similarity into account. This work presents a simple yet effective strategy to imrove cross-lingual transfer between closely related varieties. We propose to augment the data of the high-resource source language with character-level noise to make the model more robust towards spelling variations. Our strategy shows consistent improvements over several languages and tasks: Zero-shot transfer of POS tagging and topic identification between language varieties from the Finnic, West and North Germanic, and Western Romance language branches. Our work provides evidence for the usefulness of simple surface-level noise in improving transfer between language varieties. ... : ACL 2022 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7 URL: https://dx.doi.org/10.48550/arxiv.2109.06772 https://arxiv.org/abs/2109.06772 BASE Hide details 2 On Biasing Transformer Attention Towards Monotonicity ... Rios, Annette; Amrhein, Chantal; Aepli, Noëmi. - : arXiv, 2021 BASE Show details

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