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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 561–570 of 782 papers

TitleStatusHype
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing—0
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic ModelingCode0
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers—0
Negation Scope Resolution for Chinese as a Second Language—0
To Block or not to Block: Experiments with Machine Learning for News Comment Moderation—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Cross-Lingual Transfer with MAML on Trees—0
Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing—0
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures—0
GCDH@LT-EDI-EACL2021: XLM-RoBERTa for Hope Speech Detection in English, Malayalam, and Tamil—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