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 671–680 of 782 papers

TitleStatusHype
From Monolingual to Multilingual FAQ Assistant using Multilingual Co-training—0
Neural Cross-Lingual Event Detection with Minimal Parallel Resources—0
Cross-lingual intent classification in a low resource industrial setting—0
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation—0
Cross lingual transfer learning for zero-resource domain adaptation—0
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection—0
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified FrameworkCode0
MaskParse@Deskin at SemEval-2019 Task 1: Cross-lingual UCCA Semantic Parsing using Recursive Masked Sequence Tagging—0
Multilingual Dialogue Generation with Shared-Private Memory—0
Language-independent Cross-lingual Contextual Representations—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