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 641–650 of 782 papers

TitleStatusHype
WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing—0
Cross-lingual Structure Transfer for Zero-resource Event Extraction—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies—0
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings—0
Learning to Learn Morphological Inflection for Resource-Poor Languages—0
Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages—0
Extending Multilingual BERT to Low-Resource Languages—0
UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP—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