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
Zero-Shot Cross-lingual Semantic ParsingCode1
Cross-Lingual Word Embedding Refinement by _1 Norm OptimisationCode1
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
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures—0
To Block or not to Block: Experiments with Machine Learning for News Comment Moderation—0
Negation Scope Resolution for Chinese as a Second Language—0
Task-Specific Pre-Training and Cross Lingual Transfer for Sentiment Analysis in Dravidian Code-Switched Languages—0
Cross-Lingual Transfer Learning for Hate Speech Detection—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