natural-language-processing-13
Cross-Lingual Document Classification
3260 papers • 126 benchmarks • 313 datasets
Cross-lingual document classification refers to the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve classification tasks in another, commonly low-resource, language.
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Benchmarks
These leaderboards are used to track progress in cross-lingual-document-classification-13
Trend
Dataset
Best Model
Actions
MLDoc Zero-Shot English-to-Spanish
MLDoc Zero-Shot English-to-Spanish
MLDoc Zero-Shot English-to-French
MLDoc Zero-Shot English-to-French
Libraries
iUse these libraries to find cross-lingual-document-classification-13 models and implementations
