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            <namePart type="given">Marie-Francine</namePart>
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            <namePart type="given">Xuanjing</namePart>
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    <abstract>We explore the link between the extent to which syntactic relations are preserved in translation and the ease of correctly constructing a parse tree in a zero-shot setting. While previous work suggests such a relation, it tends to focus on the macro level and not on the level of individual edges—a gap we aim to address. As a test case, we take the transfer of Universal Dependencies (UD) parsing from English to a diverse set of languages and conduct two sets of experiments. In one, we analyze zero-shot performance based on the extent to which English source edges are preserved in translation. In another, we apply three linguistically motivated transformations to UD, creating more cross-lingually stable versions of it, and assess their zero-shot parsability. In order to compare parsing performance across different schemes, we perform extrinsic evaluation on the downstream task of cross-lingual relation extraction (RE) using a subset of a standard English RE benchmark translated to Russian and Korean. In both sets of experiments, our results suggest a strong relation between cross-lingual stability and zero-shot parsing performance.</abstract>
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%0 Conference Proceedings
%T On the Relation between Syntactic Divergence and Zero-Shot Performance
%A Arviv, Ofir
%A Nikolaev, Dmitry
%A Karidi, Taelin
%A Abend, Omri
%Y Moens, Marie-Francine
%Y Huang, Xuanjing
%Y Specia, Lucia
%Y Yih, Scott Wen-tau
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F arviv-etal-2021-relation
%X We explore the link between the extent to which syntactic relations are preserved in translation and the ease of correctly constructing a parse tree in a zero-shot setting. While previous work suggests such a relation, it tends to focus on the macro level and not on the level of individual edges—a gap we aim to address. As a test case, we take the transfer of Universal Dependencies (UD) parsing from English to a diverse set of languages and conduct two sets of experiments. In one, we analyze zero-shot performance based on the extent to which English source edges are preserved in translation. In another, we apply three linguistically motivated transformations to UD, creating more cross-lingually stable versions of it, and assess their zero-shot parsability. In order to compare parsing performance across different schemes, we perform extrinsic evaluation on the downstream task of cross-lingual relation extraction (RE) using a subset of a standard English RE benchmark translated to Russian and Korean. In both sets of experiments, our results suggest a strong relation between cross-lingual stability and zero-shot parsing performance.
%R 10.18653/v1/2021.emnlp-main.394
%U https://aclanthology.org/2021.emnlp-main.394
%U https://doi.org/10.18653/v1/2021.emnlp-main.394
%P 4803-4817

Markdown (Informal)

[On the Relation between Syntactic Divergence and Zero-Shot Performance](https://aclanthology.org/2021.emnlp-main.394) (Arviv et al., EMNLP 2021)

• On the Relation between Syntactic Divergence and Zero-Shot Performance (Arviv et al., EMNLP 2021)

ACL

• Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, and Omri Abend. 2021. On the Relation between Syntactic Divergence and Zero-Shot Performance. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 4803–4817, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.