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
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target LanguageCode0
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT0
Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers0
Translation Artifacts in Cross-lingual Transfer LearningCode0
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language ModelsCode0
Cross-lingual Emotion Intensity PredictionCode0
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks0
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in DanishCode0
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
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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