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 51–60 of 782 papers

Title	Date	Tasks	Status	Hype
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension	Apr 3, 2022	Cross-Lingual TransferDisentanglement	CodeCode Available	1
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction	Mar 15, 2022	Cross-Lingual TransferEvent Argument Extraction	CodeCode Available	1
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt	Feb 23, 2022	Cross-Lingual TransferZero-Shot Cross-Lingual Transfer	CodeCode Available	1
Few-shot Learning with Multilingual Language Models	Dec 20, 2021	Cross-Lingual TransferFew-Shot Learning	CodeCode Available	1
Unsupervised Dense Information Retrieval with Contrastive Learning	Dec 16, 2021	Contrastive LearningCross-Lingual Transfer	CodeCode Available	1
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models	Dec 13, 2021	Cross-Lingual TransferWord Embeddings	CodeCode Available	1
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching	Nov 1, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer	Nov 1, 2021	Cross-Lingual TransferDocument Classification	CodeCode Available	1
Multi-Domain Multilingual Question Answering	Nov 1, 2021	Cross-Lingual TransferDomain Adaptation	CodeCode Available	1
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer	Oct 27, 2021	Cross-Lingual Transfer	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	PaLM 2 (few-shot)	Accuracy	94.4	—	Unverified
2	mT0-13B	Accuracy	84.45	—	Unverified
3	RoBERTa Large (translate test)	Accuracy	76.05	—	Unverified
4	BLOOMZ	Accuracy	75.5	—	Unverified
5	MAD-X Base	Accuracy	60.94	—	Unverified
6	mGPT	Accuracy	55.5	—	Unverified