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1
On Homophony and Rényi Entropy ...
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2
An Information-Theoretic Characterization of Morphological Fusion ...
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3
Learning Data Augmentation Schedules for Natural Language Processing ...
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4
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ...
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5
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution ...
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6
Evaluating the Morphosyntactic Well-formedness of Generated Texts ...
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7
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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8
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer ...
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9
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages ...
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10
Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study ...
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11
Mitigating Language-Dependent Ethnic Bias in BERT ...
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12
Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
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13
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering ...
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14
Visually Grounded Reasoning across Languages and Cultures ...
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15
Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification ...
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16
On the Relation between Syntactic Divergence and Zero-Shot Performance ...
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 ...
Keyword: Data Management System; Machine Learning; Machine translation; Natural Language Processing
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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