Cross-Lingual Transfer
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Greatest papers with code
Unsupervised Cross-lingual Representation Learning at Scale
We also present a detailed empirical analysis of the key factors that are required to achieve these gains, including the trade-offs between (1) positive transfer and capacity dilution and (2) the performance of high and low resource languages at scale.
CROSS-LINGUAL TRANSFER LANGUAGE MODELLING REPRESENTATION LEARNING
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts.
CROSS-LINGUAL BITEXT MINING CROSS-LINGUAL DOCUMENT CLASSIFICATION CROSS-LINGUAL NATURAL LANGUAGE INFERENCE CROSS-LINGUAL TRANSFER DOCUMENT CLASSIFICATION JOINT MULTILINGUAL SENTENCE REPRESENTATIONS PARALLEL CORPUS MINING
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
However, these broad-coverage benchmarks have been mostly limited to English, and despite an increasing interest in multilingual models, a benchmark that enables the comprehensive evaluation of such methods on a diverse range of languages and tasks is still missing.
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
We propose a simple yet effective approach for improving Korean word representations using additional linguistic annotation (i. e. Hanja).
Cross-Lingual Natural Language Generation via Pre-Training
• CZWin32768/xnlg
• 
In this work we focus on transferring supervision signals of natural language generation (NLG) tasks between multiple languages.
ABSTRACTIVE TEXT SUMMARIZATION CROSS-LINGUAL TRANSFER MACHINE TRANSLATION QUESTION GENERATION TEXT GENERATION
Multi-Source Cross-Lingual Model Transfer: Learning What to Share
ACL 2019
• microsoft/Multilingual-Model-Transfer
•
In this work, we focus on the multilingual transfer setting where training data in multiple source languages is leveraged to further boost target language performance.
CROSS-LINGUAL TRANSFER TEXT CLASSIFICATION TRANSFER LEARNING
Cross-Lingual Transfer Learning for Multilingual Task Oriented Dialog
NAACL 2019
• sz128/NLU_DST_datasets
•
We use this data set to evaluate three different cross-lingual transfer methods: (1) translating the training data, (2) using cross-lingual pre-trained embeddings, and (3) a novel method of using a multilingual machine translation encoder as contextual word representations.
CROSS-LINGUAL TRANSFER MACHINE TRANSLATION TRANSFER LEARNING
Choosing Transfer Languages for Cross-Lingual Learning
Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance of natural language processing (NLP) on low-resource languages.
Massively Multilingual Transfer for NER
ACL 2019
• afshinrahimi/mmner
• 
In cross-lingual transfer, NLP models over one or more source languages are applied to a low-resource target language.
CROSS-LINGUAL TRANSFER FEW-SHOT LEARNING LOW RESOURCE NAMED ENTITY RECOGNITION NAMED ENTITY RECOGNITION
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
To tackle the sentiment classification problem in low-resource languages without adequate annotated data, we propose an Adversarial Deep Averaging Network (ADAN) to transfer the knowledge learned from labeled data on a resource-rich source language to low-resource languages where only unlabeled data exists.
CROSS-LINGUAL DOCUMENT CLASSIFICATION CROSS-LINGUAL SENTIMENT CLASSIFICATION CROSS-LINGUAL TRANSFER SENTIMENT ANALYSIS