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

Showing 651660 of 782 papers

TitleStatusHype
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in DanishCode0
Parameter Space Factorization for Zero-Shot Learning across Tasks and LanguagesCode1
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts0
Exploring Benefits of Transfer Learning in Neural Machine Translation0
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual GeneralisationCode1
A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing0
Zero-Resource Cross-Lingual Named Entity RecognitionCode0
Towards Lingua Franca Named Entity Recognition with BERT0
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Benchmark Results

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