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SotA/Natural Language Processing/Cross-Lingual Document Classification

Cross-Lingual Document Classification

14 benchmarks25 papers

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.

Benchmarks

Cross-Lingual Document Classification on N15News

Accuracy

Cross-Lingual Document Classification on Reddit Ideological and Extreme Bias Dataset

weighted-F1 score

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-French

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-Spanish

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-Chinese

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-Russian

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-Italian

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-Japanese

Accuracy

Cross-Lingual Document Classification on Reuters RCV1/RCV2 English-to-German

Accuracy

Cross-Lingual Document Classification on Reuters RCV1/RCV2 German-to-English

Accuracy

Cross-Lingual Document Classification on Soham News Article Classification

Accuracy

Cross-Lingual Document Classification on BBC Hindi News Article Classification

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot German-to-French

Accuracy

Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-German

Accuracy