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 681690 of 782 papers

TitleStatusHype
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model0
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis0
Investigating Multilingual NMT Representations at Scale0
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank0
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation0
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with HanjaCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Pushing the Limits of Low-Resource Morphological InflectionCode0
Show:102550
← PrevPage 69 of 79Next →

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