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An Information-Theoretic Characterization of Morphological Fusion ...
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A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ...
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Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution ...
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Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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Visually Grounded Reasoning across Languages and Cultures ...
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I Wish I Would Have Loved This One, But I Didn't -- A Multilingual Dataset for Counterfactual Detection in Product Review ...
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ...
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Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study ...
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Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
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Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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Recent Advances in Dialogue Machine Translation
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In: Information ; Volume 12 ; Issue 11 (2021)
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Visually Grounded Reasoning across Languages and Cultures ...
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Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification ...
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On the Relation between Syntactic Divergence and Zero-Shot Performance ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.394/ 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 ...
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Keyword:
Data Management System; Machine Learning; Machine translation; Natural Language Processing
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URL: https://dx.doi.org/10.48448/9b1v-6f57 https://underline.io/lecture/37522-on-the-relation-between-syntactic-divergence-and-zero-shot-performance
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Bridging the “gApp”: improving neural machine translation systems for multiword expression detection
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In: 11 ; 1 ; 61 ; 80 (2020)
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PADIC: extension and new experiments
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In: 7th International Conference on Advanced Technologies ; 7th International Conference on Advanced Technologies ICAT ; https://hal.archives-ouvertes.fr/hal-01718858 ; 7th International Conference on Advanced Technologies ICAT, Apr 2018, Antalya, Turkey (2018)
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