Cross-Lingual Transfer
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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Finally, we introduce a new test set of aligned sentences in 122 languages based on the Tatoeba corpus, and show that our sentence embeddings obtain strong results in multilingual similarity search even for low-resource languages.
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
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 TRANSFER SENTIMENT ANALYSIS
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
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 NAMED ENTITY RECOGNITION
Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages
Morphological segmentation for polysynthetic languages is challenging, because a word may consist of many individual morphemes and training data can be extremely scarce.
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
EMNLP 2018 • cambridgeltl/adversarial-postspec
Our adversarial post-specialization method propagates the external lexical knowledge to the full distributional space.
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 Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!
COLING 2018 • UKPLab/coling2018-xling_argument_mining
Argumentation mining (AM) requires the identification of complex discourse structures and has lately been applied with success monolingually.
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
NAACL 2019
• uclanlp/0ShotCLTwithOD
•
Different languages might have different word orders.