SOTAVerified

Cross-Lingual Transfer

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.

Papers

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Showing 531–540 of 782 papers

TitleStatusHype
Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging—0
Cross-Lingual Optimization for Language Transfer in Large Language Models—0
Cross-Lingual Parser Selection for Low-Resource Languages—0
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning—0
Cross-Lingual POS Tagging through Ambiguous Learning: First Experiments (Apprentissage partiellement supervis\'e d'un \'etiqueteur morpho-syntaxique par transfert cross-lingue) [in French]—0
Cross-Lingual Relation Extraction with Transformers—0
Cross-Lingual Relevance Transfer for Document Retrieval—0
Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge—0
Cross-lingual Structure Transfer for Zero-resource Event Extraction—0
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM 2 (few-shot)Accuracy94.4—Unverified
2mT0-13BAccuracy84.45—Unverified
3RoBERTa Large (translate test)Accuracy76.05—Unverified
4BLOOMZAccuracy75.5—Unverified
5MAD-X BaseAccuracy60.94—Unverified
6mGPTAccuracy55.5—Unverified